Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- config.json +28 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_state.json +2453 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"max_position_embeddings": 32768,
|
| 13 |
+
"max_window_layers": 28,
|
| 14 |
+
"model_type": "qwen2",
|
| 15 |
+
"num_attention_heads": 28,
|
| 16 |
+
"num_hidden_layers": 28,
|
| 17 |
+
"num_key_value_heads": 4,
|
| 18 |
+
"rms_norm_eps": 1e-06,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": null,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "float32",
|
| 24 |
+
"transformers_version": "4.48.1",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 151665
|
| 28 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.48.1"
|
| 14 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:897a8af3da257bc3272afe8a1d80ca139bd03267bd8ba81e50b7df74d3cf8e8d
|
| 3 |
+
size 4970967152
|
model-00002-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c487fdf8e46ad08db3052dab7e4a2cffd3cbc2c3a28015c79758282278bbf0b0
|
| 3 |
+
size 4778622352
|
model-00003-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5460daf66d285dc862d6fe7badccb1be3a6ab7596f0b15015607b12f1ab516bb
|
| 3 |
+
size 4932743960
|
model-00004-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a42aabcf35c1ae6ae730d581203a9084b8b806c69fcd341ec52c94d617264934
|
| 3 |
+
size 4932743992
|
model-00005-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b233186010f19413b2b693cdd37590f4e6043612ccade0a4f403e8380586eaf
|
| 3 |
+
size 4998852296
|
model-00006-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2394fd281a1bdb238f74662a42d625857208b74818910df3970899f290ebdd8a
|
| 3 |
+
size 3662865184
|
model-00007-of-00007.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c974380e22c2e302ec60c68960b8d79c9e9d8ab39e044bf5ccce527caf365f89
|
| 3 |
+
size 2174269568
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 30451025920
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00007-of-00007.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 272 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
| 274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
| 275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
| 276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 284 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
| 286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
| 287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
| 288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 296 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
| 298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
| 299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
| 300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 308 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
| 310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
| 311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
| 312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
| 313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 320 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
| 322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
| 324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
| 332 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
| 334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
| 335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
| 336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
| 337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
| 344 |
+
"model.norm.weight": "model-00006-of-00007.safetensors"
|
| 345 |
+
}
|
| 346 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2453 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.503496503496503,
|
| 5 |
+
"eval_steps": 18,
|
| 6 |
+
"global_step": 324,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013986013986013986,
|
| 13 |
+
"grad_norm": 6.746792793273926,
|
| 14 |
+
"learning_rate": 3.3333333333333335e-07,
|
| 15 |
+
"loss": 0.8294,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.013986013986013986,
|
| 20 |
+
"eval_loss": 0.8744672536849976,
|
| 21 |
+
"eval_runtime": 36.967,
|
| 22 |
+
"eval_samples_per_second": 17.367,
|
| 23 |
+
"eval_steps_per_second": 2.191,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.027972027972027972,
|
| 28 |
+
"grad_norm": 6.9825944900512695,
|
| 29 |
+
"learning_rate": 6.666666666666667e-07,
|
| 30 |
+
"loss": 0.8694,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.04195804195804196,
|
| 35 |
+
"grad_norm": 7.01480770111084,
|
| 36 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 37 |
+
"loss": 0.861,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.055944055944055944,
|
| 42 |
+
"grad_norm": 7.156968593597412,
|
| 43 |
+
"learning_rate": 1.3333333333333334e-06,
|
| 44 |
+
"loss": 0.9027,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.06993006993006994,
|
| 49 |
+
"grad_norm": 6.0878005027771,
|
| 50 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 51 |
+
"loss": 0.8577,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.08391608391608392,
|
| 56 |
+
"grad_norm": 5.853216648101807,
|
| 57 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 58 |
+
"loss": 0.8168,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0979020979020979,
|
| 63 |
+
"grad_norm": 4.9973978996276855,
|
| 64 |
+
"learning_rate": 2.3333333333333336e-06,
|
| 65 |
+
"loss": 0.788,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.11188811188811189,
|
| 70 |
+
"grad_norm": 4.611128330230713,
|
| 71 |
+
"learning_rate": 2.666666666666667e-06,
|
| 72 |
+
"loss": 0.7959,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.1258741258741259,
|
| 77 |
+
"grad_norm": 3.1312103271484375,
|
| 78 |
+
"learning_rate": 3e-06,
|
| 79 |
+
"loss": 0.7374,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.13986013986013987,
|
| 84 |
+
"grad_norm": 2.9217381477355957,
|
| 85 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 86 |
+
"loss": 0.7329,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.15384615384615385,
|
| 91 |
+
"grad_norm": 2.5225424766540527,
|
| 92 |
+
"learning_rate": 3.6666666666666666e-06,
|
| 93 |
+
"loss": 0.6905,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.16783216783216784,
|
| 98 |
+
"grad_norm": 2.8658440113067627,
|
| 99 |
+
"learning_rate": 4.000000000000001e-06,
|
| 100 |
+
"loss": 0.702,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.18181818181818182,
|
| 105 |
+
"grad_norm": 2.6459388732910156,
|
| 106 |
+
"learning_rate": 4.333333333333334e-06,
|
| 107 |
+
"loss": 0.6659,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.1958041958041958,
|
| 112 |
+
"grad_norm": 2.4082329273223877,
|
| 113 |
+
"learning_rate": 4.666666666666667e-06,
|
| 114 |
+
"loss": 0.6732,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.2097902097902098,
|
| 119 |
+
"grad_norm": 1.8969792127609253,
|
| 120 |
+
"learning_rate": 5e-06,
|
| 121 |
+
"loss": 0.626,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.22377622377622378,
|
| 126 |
+
"grad_norm": 1.705984354019165,
|
| 127 |
+
"learning_rate": 5.333333333333334e-06,
|
| 128 |
+
"loss": 0.6357,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.23776223776223776,
|
| 133 |
+
"grad_norm": 1.5265748500823975,
|
| 134 |
+
"learning_rate": 5.666666666666667e-06,
|
| 135 |
+
"loss": 0.6409,
|
| 136 |
+
"step": 17
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.2517482517482518,
|
| 140 |
+
"grad_norm": 1.3590223789215088,
|
| 141 |
+
"learning_rate": 6e-06,
|
| 142 |
+
"loss": 0.6128,
|
| 143 |
+
"step": 18
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.2517482517482518,
|
| 147 |
+
"eval_loss": 0.6171885132789612,
|
| 148 |
+
"eval_runtime": 35.4252,
|
| 149 |
+
"eval_samples_per_second": 18.123,
|
| 150 |
+
"eval_steps_per_second": 2.287,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.26573426573426573,
|
| 155 |
+
"grad_norm": 1.3791933059692383,
|
| 156 |
+
"learning_rate": 6.333333333333333e-06,
|
| 157 |
+
"loss": 0.6181,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.27972027972027974,
|
| 162 |
+
"grad_norm": 1.398863434791565,
|
| 163 |
+
"learning_rate": 6.666666666666667e-06,
|
| 164 |
+
"loss": 0.593,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.2937062937062937,
|
| 169 |
+
"grad_norm": 1.1556097269058228,
|
| 170 |
+
"learning_rate": 7e-06,
|
| 171 |
+
"loss": 0.6274,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.3076923076923077,
|
| 176 |
+
"grad_norm": 1.094146728515625,
|
| 177 |
+
"learning_rate": 7.333333333333333e-06,
|
| 178 |
+
"loss": 0.6113,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.32167832167832167,
|
| 183 |
+
"grad_norm": 1.2191824913024902,
|
| 184 |
+
"learning_rate": 7.666666666666667e-06,
|
| 185 |
+
"loss": 0.6111,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.3356643356643357,
|
| 190 |
+
"grad_norm": 0.9371815323829651,
|
| 191 |
+
"learning_rate": 8.000000000000001e-06,
|
| 192 |
+
"loss": 0.5895,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.34965034965034963,
|
| 197 |
+
"grad_norm": 0.8173602223396301,
|
| 198 |
+
"learning_rate": 8.333333333333334e-06,
|
| 199 |
+
"loss": 0.6083,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.36363636363636365,
|
| 204 |
+
"grad_norm": 1.0984693765640259,
|
| 205 |
+
"learning_rate": 8.666666666666668e-06,
|
| 206 |
+
"loss": 0.6072,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.3776223776223776,
|
| 211 |
+
"grad_norm": 1.0279648303985596,
|
| 212 |
+
"learning_rate": 9e-06,
|
| 213 |
+
"loss": 0.6001,
|
| 214 |
+
"step": 27
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.3916083916083916,
|
| 218 |
+
"grad_norm": 0.9129611253738403,
|
| 219 |
+
"learning_rate": 9.333333333333334e-06,
|
| 220 |
+
"loss": 0.5644,
|
| 221 |
+
"step": 28
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.40559440559440557,
|
| 225 |
+
"grad_norm": 0.832744300365448,
|
| 226 |
+
"learning_rate": 9.666666666666667e-06,
|
| 227 |
+
"loss": 0.5716,
|
| 228 |
+
"step": 29
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.4195804195804196,
|
| 232 |
+
"grad_norm": 0.8230701684951782,
|
| 233 |
+
"learning_rate": 1e-05,
|
| 234 |
+
"loss": 0.59,
|
| 235 |
+
"step": 30
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.43356643356643354,
|
| 239 |
+
"grad_norm": 0.8343638181686401,
|
| 240 |
+
"learning_rate": 9.999766401714795e-06,
|
| 241 |
+
"loss": 0.5876,
|
| 242 |
+
"step": 31
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.44755244755244755,
|
| 246 |
+
"grad_norm": 0.7421298623085022,
|
| 247 |
+
"learning_rate": 9.999065628686439e-06,
|
| 248 |
+
"loss": 0.5959,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.46153846153846156,
|
| 253 |
+
"grad_norm": 0.7471378445625305,
|
| 254 |
+
"learning_rate": 9.997897746394684e-06,
|
| 255 |
+
"loss": 0.5804,
|
| 256 |
+
"step": 33
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.4755244755244755,
|
| 260 |
+
"grad_norm": 0.8300222754478455,
|
| 261 |
+
"learning_rate": 9.996262863965651e-06,
|
| 262 |
+
"loss": 0.5726,
|
| 263 |
+
"step": 34
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 0.48951048951048953,
|
| 267 |
+
"grad_norm": 0.7753379940986633,
|
| 268 |
+
"learning_rate": 9.994161134161635e-06,
|
| 269 |
+
"loss": 0.6034,
|
| 270 |
+
"step": 35
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.5034965034965035,
|
| 274 |
+
"grad_norm": 0.8331146240234375,
|
| 275 |
+
"learning_rate": 9.991592753366822e-06,
|
| 276 |
+
"loss": 0.5953,
|
| 277 |
+
"step": 36
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.5034965034965035,
|
| 281 |
+
"eval_loss": 0.5805296897888184,
|
| 282 |
+
"eval_runtime": 35.0435,
|
| 283 |
+
"eval_samples_per_second": 18.32,
|
| 284 |
+
"eval_steps_per_second": 2.311,
|
| 285 |
+
"step": 36
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.5174825174825175,
|
| 289 |
+
"grad_norm": 0.7212592959403992,
|
| 290 |
+
"learning_rate": 9.988557961568956e-06,
|
| 291 |
+
"loss": 0.5639,
|
| 292 |
+
"step": 37
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.5314685314685315,
|
| 296 |
+
"grad_norm": 0.796295166015625,
|
| 297 |
+
"learning_rate": 9.985057042336898e-06,
|
| 298 |
+
"loss": 0.5771,
|
| 299 |
+
"step": 38
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.5454545454545454,
|
| 303 |
+
"grad_norm": 0.8607219457626343,
|
| 304 |
+
"learning_rate": 9.981090322794145e-06,
|
| 305 |
+
"loss": 0.5763,
|
| 306 |
+
"step": 39
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.5594405594405595,
|
| 310 |
+
"grad_norm": 0.861869215965271,
|
| 311 |
+
"learning_rate": 9.976658173588244e-06,
|
| 312 |
+
"loss": 0.5729,
|
| 313 |
+
"step": 40
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.5734265734265734,
|
| 317 |
+
"grad_norm": 0.7538414597511292,
|
| 318 |
+
"learning_rate": 9.97176100885618e-06,
|
| 319 |
+
"loss": 0.571,
|
| 320 |
+
"step": 41
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.5874125874125874,
|
| 324 |
+
"grad_norm": 0.7197255492210388,
|
| 325 |
+
"learning_rate": 9.966399286185666e-06,
|
| 326 |
+
"loss": 0.5421,
|
| 327 |
+
"step": 42
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.6013986013986014,
|
| 331 |
+
"grad_norm": 0.7522373199462891,
|
| 332 |
+
"learning_rate": 9.960573506572391e-06,
|
| 333 |
+
"loss": 0.5603,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.6153846153846154,
|
| 338 |
+
"grad_norm": 0.8054993152618408,
|
| 339 |
+
"learning_rate": 9.954284214373204e-06,
|
| 340 |
+
"loss": 0.5723,
|
| 341 |
+
"step": 44
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.6293706293706294,
|
| 345 |
+
"grad_norm": 0.639057457447052,
|
| 346 |
+
"learning_rate": 9.947531997255256e-06,
|
| 347 |
+
"loss": 0.5483,
|
| 348 |
+
"step": 45
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.6433566433566433,
|
| 352 |
+
"grad_norm": 0.6742891073226929,
|
| 353 |
+
"learning_rate": 9.940317486141084e-06,
|
| 354 |
+
"loss": 0.5845,
|
| 355 |
+
"step": 46
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.6573426573426573,
|
| 359 |
+
"grad_norm": 0.6605424880981445,
|
| 360 |
+
"learning_rate": 9.932641355149655e-06,
|
| 361 |
+
"loss": 0.5639,
|
| 362 |
+
"step": 47
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.6713286713286714,
|
| 366 |
+
"grad_norm": 0.7080878019332886,
|
| 367 |
+
"learning_rate": 9.924504321533387e-06,
|
| 368 |
+
"loss": 0.5851,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.6853146853146853,
|
| 373 |
+
"grad_norm": 0.6235523223876953,
|
| 374 |
+
"learning_rate": 9.915907145611117e-06,
|
| 375 |
+
"loss": 0.574,
|
| 376 |
+
"step": 49
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 0.6993006993006993,
|
| 380 |
+
"grad_norm": 0.6567375063896179,
|
| 381 |
+
"learning_rate": 9.906850630697068e-06,
|
| 382 |
+
"loss": 0.5705,
|
| 383 |
+
"step": 50
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 0.7132867132867133,
|
| 387 |
+
"grad_norm": 0.6011090278625488,
|
| 388 |
+
"learning_rate": 9.89733562302578e-06,
|
| 389 |
+
"loss": 0.574,
|
| 390 |
+
"step": 51
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.7272727272727273,
|
| 394 |
+
"grad_norm": 0.6043576002120972,
|
| 395 |
+
"learning_rate": 9.887363011673046e-06,
|
| 396 |
+
"loss": 0.5849,
|
| 397 |
+
"step": 52
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.7412587412587412,
|
| 401 |
+
"grad_norm": 0.7147118449211121,
|
| 402 |
+
"learning_rate": 9.876933728472826e-06,
|
| 403 |
+
"loss": 0.5584,
|
| 404 |
+
"step": 53
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.7552447552447552,
|
| 408 |
+
"grad_norm": 0.6480064392089844,
|
| 409 |
+
"learning_rate": 9.866048747930194e-06,
|
| 410 |
+
"loss": 0.5494,
|
| 411 |
+
"step": 54
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.7552447552447552,
|
| 415 |
+
"eval_loss": 0.5708758234977722,
|
| 416 |
+
"eval_runtime": 34.9921,
|
| 417 |
+
"eval_samples_per_second": 18.347,
|
| 418 |
+
"eval_steps_per_second": 2.315,
|
| 419 |
+
"step": 54
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.7692307692307693,
|
| 423 |
+
"grad_norm": 0.6563164591789246,
|
| 424 |
+
"learning_rate": 9.854709087130261e-06,
|
| 425 |
+
"loss": 0.5491,
|
| 426 |
+
"step": 55
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.7832167832167832,
|
| 430 |
+
"grad_norm": 0.6024691462516785,
|
| 431 |
+
"learning_rate": 9.842915805643156e-06,
|
| 432 |
+
"loss": 0.5589,
|
| 433 |
+
"step": 56
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.7972027972027972,
|
| 437 |
+
"grad_norm": 0.6186073422431946,
|
| 438 |
+
"learning_rate": 9.830670005425012e-06,
|
| 439 |
+
"loss": 0.5567,
|
| 440 |
+
"step": 57
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.8111888111888111,
|
| 444 |
+
"grad_norm": 0.6993715763092041,
|
| 445 |
+
"learning_rate": 9.817972830715003e-06,
|
| 446 |
+
"loss": 0.5534,
|
| 447 |
+
"step": 58
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.8251748251748252,
|
| 451 |
+
"grad_norm": 0.6327122449874878,
|
| 452 |
+
"learning_rate": 9.804825467928423e-06,
|
| 453 |
+
"loss": 0.5709,
|
| 454 |
+
"step": 59
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 0.8391608391608392,
|
| 458 |
+
"grad_norm": 0.6156756281852722,
|
| 459 |
+
"learning_rate": 9.791229145545832e-06,
|
| 460 |
+
"loss": 0.5445,
|
| 461 |
+
"step": 60
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.8531468531468531,
|
| 465 |
+
"grad_norm": 0.7704036235809326,
|
| 466 |
+
"learning_rate": 9.777185133998268e-06,
|
| 467 |
+
"loss": 0.5743,
|
| 468 |
+
"step": 61
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.8671328671328671,
|
| 472 |
+
"grad_norm": 0.5839553475379944,
|
| 473 |
+
"learning_rate": 9.76269474554854e-06,
|
| 474 |
+
"loss": 0.5536,
|
| 475 |
+
"step": 62
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.8811188811188811,
|
| 479 |
+
"grad_norm": 0.6872385144233704,
|
| 480 |
+
"learning_rate": 9.747759334168602e-06,
|
| 481 |
+
"loss": 0.5627,
|
| 482 |
+
"step": 63
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.8951048951048951,
|
| 486 |
+
"grad_norm": 0.663074791431427,
|
| 487 |
+
"learning_rate": 9.73238029541305e-06,
|
| 488 |
+
"loss": 0.5643,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.9090909090909091,
|
| 493 |
+
"grad_norm": 0.7018933296203613,
|
| 494 |
+
"learning_rate": 9.716559066288716e-06,
|
| 495 |
+
"loss": 0.5729,
|
| 496 |
+
"step": 65
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.9230769230769231,
|
| 500 |
+
"grad_norm": 0.7574678659439087,
|
| 501 |
+
"learning_rate": 9.7002971251204e-06,
|
| 502 |
+
"loss": 0.5813,
|
| 503 |
+
"step": 66
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 0.9370629370629371,
|
| 507 |
+
"grad_norm": 0.6293357014656067,
|
| 508 |
+
"learning_rate": 9.683595991412725e-06,
|
| 509 |
+
"loss": 0.5819,
|
| 510 |
+
"step": 67
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 0.951048951048951,
|
| 514 |
+
"grad_norm": 0.6524381041526794,
|
| 515 |
+
"learning_rate": 9.666457225708175e-06,
|
| 516 |
+
"loss": 0.5856,
|
| 517 |
+
"step": 68
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 0.965034965034965,
|
| 521 |
+
"grad_norm": 0.8389201164245605,
|
| 522 |
+
"learning_rate": 9.648882429441258e-06,
|
| 523 |
+
"loss": 0.5587,
|
| 524 |
+
"step": 69
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 0.9790209790209791,
|
| 528 |
+
"grad_norm": 0.6339119672775269,
|
| 529 |
+
"learning_rate": 9.630873244788884e-06,
|
| 530 |
+
"loss": 0.5655,
|
| 531 |
+
"step": 70
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 0.993006993006993,
|
| 535 |
+
"grad_norm": 0.6689181923866272,
|
| 536 |
+
"learning_rate": 9.612431354516912e-06,
|
| 537 |
+
"loss": 0.574,
|
| 538 |
+
"step": 71
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 1.0,
|
| 542 |
+
"grad_norm": 0.7970519661903381,
|
| 543 |
+
"learning_rate": 9.593558481822923e-06,
|
| 544 |
+
"loss": 0.5541,
|
| 545 |
+
"step": 72
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.0,
|
| 549 |
+
"eval_loss": 0.5664608478546143,
|
| 550 |
+
"eval_runtime": 34.9634,
|
| 551 |
+
"eval_samples_per_second": 18.362,
|
| 552 |
+
"eval_steps_per_second": 2.317,
|
| 553 |
+
"step": 72
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 1.013986013986014,
|
| 557 |
+
"grad_norm": 0.6805382370948792,
|
| 558 |
+
"learning_rate": 9.574256390175192e-06,
|
| 559 |
+
"loss": 0.5175,
|
| 560 |
+
"step": 73
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.027972027972028,
|
| 564 |
+
"grad_norm": 0.6378044486045837,
|
| 565 |
+
"learning_rate": 9.554526883147926e-06,
|
| 566 |
+
"loss": 0.5323,
|
| 567 |
+
"step": 74
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 1.0419580419580419,
|
| 571 |
+
"grad_norm": 0.6296578645706177,
|
| 572 |
+
"learning_rate": 9.534371804252727e-06,
|
| 573 |
+
"loss": 0.5197,
|
| 574 |
+
"step": 75
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 1.055944055944056,
|
| 578 |
+
"grad_norm": 0.6116400361061096,
|
| 579 |
+
"learning_rate": 9.513793036766345e-06,
|
| 580 |
+
"loss": 0.504,
|
| 581 |
+
"step": 76
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 1.06993006993007,
|
| 585 |
+
"grad_norm": 0.6288114190101624,
|
| 586 |
+
"learning_rate": 9.492792503554695e-06,
|
| 587 |
+
"loss": 0.5314,
|
| 588 |
+
"step": 77
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 1.083916083916084,
|
| 592 |
+
"grad_norm": 0.6576322913169861,
|
| 593 |
+
"learning_rate": 9.4713721668932e-06,
|
| 594 |
+
"loss": 0.5437,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 1.097902097902098,
|
| 599 |
+
"grad_norm": 0.5930177569389343,
|
| 600 |
+
"learning_rate": 9.44953402828342e-06,
|
| 601 |
+
"loss": 0.5213,
|
| 602 |
+
"step": 79
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 1.1118881118881119,
|
| 606 |
+
"grad_norm": 0.7437406778335571,
|
| 607 |
+
"learning_rate": 9.427280128266049e-06,
|
| 608 |
+
"loss": 0.5441,
|
| 609 |
+
"step": 80
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 1.1258741258741258,
|
| 613 |
+
"grad_norm": 0.7347025275230408,
|
| 614 |
+
"learning_rate": 9.404612546230244e-06,
|
| 615 |
+
"loss": 0.5078,
|
| 616 |
+
"step": 81
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 1.1398601398601398,
|
| 620 |
+
"grad_norm": 0.6133800148963928,
|
| 621 |
+
"learning_rate": 9.381533400219319e-06,
|
| 622 |
+
"loss": 0.5129,
|
| 623 |
+
"step": 82
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 1.1538461538461537,
|
| 627 |
+
"grad_norm": 0.8068645000457764,
|
| 628 |
+
"learning_rate": 9.358044846732848e-06,
|
| 629 |
+
"loss": 0.5252,
|
| 630 |
+
"step": 83
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.167832167832168,
|
| 634 |
+
"grad_norm": 0.7470645904541016,
|
| 635 |
+
"learning_rate": 9.334149080525154e-06,
|
| 636 |
+
"loss": 0.5251,
|
| 637 |
+
"step": 84
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 1.1818181818181819,
|
| 641 |
+
"grad_norm": 0.6085983514785767,
|
| 642 |
+
"learning_rate": 9.309848334400247e-06,
|
| 643 |
+
"loss": 0.5119,
|
| 644 |
+
"step": 85
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.1958041958041958,
|
| 648 |
+
"grad_norm": 0.6427562236785889,
|
| 649 |
+
"learning_rate": 9.285144879003173e-06,
|
| 650 |
+
"loss": 0.5327,
|
| 651 |
+
"step": 86
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.2097902097902098,
|
| 655 |
+
"grad_norm": 0.5992908477783203,
|
| 656 |
+
"learning_rate": 9.26004102260786e-06,
|
| 657 |
+
"loss": 0.5174,
|
| 658 |
+
"step": 87
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 1.2237762237762237,
|
| 662 |
+
"grad_norm": 0.6650605201721191,
|
| 663 |
+
"learning_rate": 9.23453911090143e-06,
|
| 664 |
+
"loss": 0.541,
|
| 665 |
+
"step": 88
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 1.2377622377622377,
|
| 669 |
+
"grad_norm": 0.6733765602111816,
|
| 670 |
+
"learning_rate": 9.208641526765024e-06,
|
| 671 |
+
"loss": 0.4968,
|
| 672 |
+
"step": 89
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 1.2517482517482517,
|
| 676 |
+
"grad_norm": 0.5896586775779724,
|
| 677 |
+
"learning_rate": 9.182350690051134e-06,
|
| 678 |
+
"loss": 0.5111,
|
| 679 |
+
"step": 90
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 1.2517482517482517,
|
| 683 |
+
"eval_loss": 0.5681217312812805,
|
| 684 |
+
"eval_runtime": 34.9547,
|
| 685 |
+
"eval_samples_per_second": 18.367,
|
| 686 |
+
"eval_steps_per_second": 2.317,
|
| 687 |
+
"step": 90
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 1.2657342657342658,
|
| 691 |
+
"grad_norm": 0.5879291892051697,
|
| 692 |
+
"learning_rate": 9.155669057357515e-06,
|
| 693 |
+
"loss": 0.5124,
|
| 694 |
+
"step": 91
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 1.2797202797202798,
|
| 698 |
+
"grad_norm": 0.6704349517822266,
|
| 699 |
+
"learning_rate": 9.12859912179762e-06,
|
| 700 |
+
"loss": 0.5264,
|
| 701 |
+
"step": 92
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 1.2937062937062938,
|
| 705 |
+
"grad_norm": 0.7005125284194946,
|
| 706 |
+
"learning_rate": 9.101143412767665e-06,
|
| 707 |
+
"loss": 0.5426,
|
| 708 |
+
"step": 93
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 1.3076923076923077,
|
| 712 |
+
"grad_norm": 0.5738447904586792,
|
| 713 |
+
"learning_rate": 9.073304495710267e-06,
|
| 714 |
+
"loss": 0.5057,
|
| 715 |
+
"step": 94
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 1.3216783216783217,
|
| 719 |
+
"grad_norm": 0.6039765477180481,
|
| 720 |
+
"learning_rate": 9.045084971874738e-06,
|
| 721 |
+
"loss": 0.5106,
|
| 722 |
+
"step": 95
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 1.3356643356643356,
|
| 726 |
+
"grad_norm": 0.6626608967781067,
|
| 727 |
+
"learning_rate": 9.016487478074032e-06,
|
| 728 |
+
"loss": 0.5231,
|
| 729 |
+
"step": 96
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 1.3496503496503496,
|
| 733 |
+
"grad_norm": 0.607319176197052,
|
| 734 |
+
"learning_rate": 8.987514686438353e-06,
|
| 735 |
+
"loss": 0.5373,
|
| 736 |
+
"step": 97
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 1.3636363636363638,
|
| 740 |
+
"grad_norm": 0.6294829249382019,
|
| 741 |
+
"learning_rate": 8.95816930416548e-06,
|
| 742 |
+
"loss": 0.5478,
|
| 743 |
+
"step": 98
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 1.3776223776223775,
|
| 747 |
+
"grad_norm": 0.5931101441383362,
|
| 748 |
+
"learning_rate": 8.928454073267801e-06,
|
| 749 |
+
"loss": 0.5183,
|
| 750 |
+
"step": 99
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 1.3916083916083917,
|
| 754 |
+
"grad_norm": 0.5525672435760498,
|
| 755 |
+
"learning_rate": 8.898371770316113e-06,
|
| 756 |
+
"loss": 0.5049,
|
| 757 |
+
"step": 100
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 1.4055944055944056,
|
| 761 |
+
"grad_norm": 0.5554185509681702,
|
| 762 |
+
"learning_rate": 8.867925206180166e-06,
|
| 763 |
+
"loss": 0.5329,
|
| 764 |
+
"step": 101
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 1.4195804195804196,
|
| 768 |
+
"grad_norm": 0.6104192137718201,
|
| 769 |
+
"learning_rate": 8.837117225766033e-06,
|
| 770 |
+
"loss": 0.5421,
|
| 771 |
+
"step": 102
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 1.4335664335664335,
|
| 775 |
+
"grad_norm": 0.5591093897819519,
|
| 776 |
+
"learning_rate": 8.805950707750268e-06,
|
| 777 |
+
"loss": 0.5434,
|
| 778 |
+
"step": 103
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 1.4475524475524475,
|
| 782 |
+
"grad_norm": 0.5589428544044495,
|
| 783 |
+
"learning_rate": 8.774428564310939e-06,
|
| 784 |
+
"loss": 0.5159,
|
| 785 |
+
"step": 104
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 1.4615384615384617,
|
| 789 |
+
"grad_norm": 0.580699622631073,
|
| 790 |
+
"learning_rate": 8.742553740855507e-06,
|
| 791 |
+
"loss": 0.5143,
|
| 792 |
+
"step": 105
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 1.4755244755244754,
|
| 796 |
+
"grad_norm": 0.6007757186889648,
|
| 797 |
+
"learning_rate": 8.710329215745612e-06,
|
| 798 |
+
"loss": 0.5066,
|
| 799 |
+
"step": 106
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 1.4895104895104896,
|
| 803 |
+
"grad_norm": 0.6713395118713379,
|
| 804 |
+
"learning_rate": 8.677758000018777e-06,
|
| 805 |
+
"loss": 0.5318,
|
| 806 |
+
"step": 107
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 1.5034965034965035,
|
| 810 |
+
"grad_norm": 0.5536379814147949,
|
| 811 |
+
"learning_rate": 8.644843137107058e-06,
|
| 812 |
+
"loss": 0.5159,
|
| 813 |
+
"step": 108
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 1.5034965034965035,
|
| 817 |
+
"eval_loss": 0.5661691427230835,
|
| 818 |
+
"eval_runtime": 35.3668,
|
| 819 |
+
"eval_samples_per_second": 18.153,
|
| 820 |
+
"eval_steps_per_second": 2.29,
|
| 821 |
+
"step": 108
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 1.5174825174825175,
|
| 825 |
+
"grad_norm": 0.645210325717926,
|
| 826 |
+
"learning_rate": 8.61158770255267e-06,
|
| 827 |
+
"loss": 0.5312,
|
| 828 |
+
"step": 109
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 1.5314685314685315,
|
| 832 |
+
"grad_norm": 0.601094126701355,
|
| 833 |
+
"learning_rate": 8.577994803720605e-06,
|
| 834 |
+
"loss": 0.5394,
|
| 835 |
+
"step": 110
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 1.5454545454545454,
|
| 839 |
+
"grad_norm": 0.5418203473091125,
|
| 840 |
+
"learning_rate": 8.544067579508292e-06,
|
| 841 |
+
"loss": 0.5264,
|
| 842 |
+
"step": 111
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 1.5594405594405596,
|
| 846 |
+
"grad_norm": 0.5513077974319458,
|
| 847 |
+
"learning_rate": 8.509809200052286e-06,
|
| 848 |
+
"loss": 0.5269,
|
| 849 |
+
"step": 112
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 1.5734265734265733,
|
| 853 |
+
"grad_norm": 0.6063372492790222,
|
| 854 |
+
"learning_rate": 8.475222866432065e-06,
|
| 855 |
+
"loss": 0.5199,
|
| 856 |
+
"step": 113
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 1.5874125874125875,
|
| 860 |
+
"grad_norm": 0.5637122988700867,
|
| 861 |
+
"learning_rate": 8.440311810370921e-06,
|
| 862 |
+
"loss": 0.5342,
|
| 863 |
+
"step": 114
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 1.6013986013986012,
|
| 867 |
+
"grad_norm": 0.5762498378753662,
|
| 868 |
+
"learning_rate": 8.405079293933986e-06,
|
| 869 |
+
"loss": 0.5419,
|
| 870 |
+
"step": 115
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 1.6153846153846154,
|
| 874 |
+
"grad_norm": 0.557772159576416,
|
| 875 |
+
"learning_rate": 8.36952860922343e-06,
|
| 876 |
+
"loss": 0.5217,
|
| 877 |
+
"step": 116
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 1.6293706293706294,
|
| 881 |
+
"grad_norm": 0.6382875442504883,
|
| 882 |
+
"learning_rate": 8.333663078070845e-06,
|
| 883 |
+
"loss": 0.5366,
|
| 884 |
+
"step": 117
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 1.6433566433566433,
|
| 888 |
+
"grad_norm": 0.5209150910377502,
|
| 889 |
+
"learning_rate": 8.297486051726864e-06,
|
| 890 |
+
"loss": 0.5087,
|
| 891 |
+
"step": 118
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.6573426573426573,
|
| 895 |
+
"grad_norm": 0.5415475964546204,
|
| 896 |
+
"learning_rate": 8.26100091054801e-06,
|
| 897 |
+
"loss": 0.5026,
|
| 898 |
+
"step": 119
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 1.6713286713286712,
|
| 902 |
+
"grad_norm": 0.6667906641960144,
|
| 903 |
+
"learning_rate": 8.224211063680854e-06,
|
| 904 |
+
"loss": 0.5224,
|
| 905 |
+
"step": 120
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 1.6853146853146854,
|
| 909 |
+
"grad_norm": 0.573965311050415,
|
| 910 |
+
"learning_rate": 8.18711994874345e-06,
|
| 911 |
+
"loss": 0.538,
|
| 912 |
+
"step": 121
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 1.6993006993006992,
|
| 916 |
+
"grad_norm": 0.6206014156341553,
|
| 917 |
+
"learning_rate": 8.149731031504136e-06,
|
| 918 |
+
"loss": 0.5161,
|
| 919 |
+
"step": 122
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 1.7132867132867133,
|
| 923 |
+
"grad_norm": 0.6324427127838135,
|
| 924 |
+
"learning_rate": 8.112047805557693e-06,
|
| 925 |
+
"loss": 0.5407,
|
| 926 |
+
"step": 123
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 1.7272727272727273,
|
| 930 |
+
"grad_norm": 0.5460613965988159,
|
| 931 |
+
"learning_rate": 8.074073791998907e-06,
|
| 932 |
+
"loss": 0.5238,
|
| 933 |
+
"step": 124
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 1.7412587412587412,
|
| 937 |
+
"grad_norm": 0.5684161186218262,
|
| 938 |
+
"learning_rate": 8.035812539093557e-06,
|
| 939 |
+
"loss": 0.5166,
|
| 940 |
+
"step": 125
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 1.7552447552447552,
|
| 944 |
+
"grad_norm": 0.6114190816879272,
|
| 945 |
+
"learning_rate": 7.997267621946871e-06,
|
| 946 |
+
"loss": 0.5212,
|
| 947 |
+
"step": 126
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 1.7552447552447552,
|
| 951 |
+
"eval_loss": 0.5644441843032837,
|
| 952 |
+
"eval_runtime": 34.8941,
|
| 953 |
+
"eval_samples_per_second": 18.399,
|
| 954 |
+
"eval_steps_per_second": 2.321,
|
| 955 |
+
"step": 126
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.7692307692307692,
|
| 959 |
+
"grad_norm": 0.5791452527046204,
|
| 960 |
+
"learning_rate": 7.958442642169469e-06,
|
| 961 |
+
"loss": 0.5219,
|
| 962 |
+
"step": 127
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.7832167832167833,
|
| 966 |
+
"grad_norm": 0.5814895033836365,
|
| 967 |
+
"learning_rate": 7.919341227540828e-06,
|
| 968 |
+
"loss": 0.5492,
|
| 969 |
+
"step": 128
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.797202797202797,
|
| 973 |
+
"grad_norm": 0.5562170147895813,
|
| 974 |
+
"learning_rate": 7.879967031670313e-06,
|
| 975 |
+
"loss": 0.5065,
|
| 976 |
+
"step": 129
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8111888111888113,
|
| 980 |
+
"grad_norm": 0.5666476488113403,
|
| 981 |
+
"learning_rate": 7.84032373365578e-06,
|
| 982 |
+
"loss": 0.508,
|
| 983 |
+
"step": 130
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8251748251748252,
|
| 987 |
+
"grad_norm": 0.6123917102813721,
|
| 988 |
+
"learning_rate": 7.800415037739802e-06,
|
| 989 |
+
"loss": 0.5245,
|
| 990 |
+
"step": 131
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8391608391608392,
|
| 994 |
+
"grad_norm": 0.6137180924415588,
|
| 995 |
+
"learning_rate": 7.760244672963548e-06,
|
| 996 |
+
"loss": 0.5281,
|
| 997 |
+
"step": 132
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.8531468531468531,
|
| 1001 |
+
"grad_norm": 0.5444206595420837,
|
| 1002 |
+
"learning_rate": 7.719816392818354e-06,
|
| 1003 |
+
"loss": 0.496,
|
| 1004 |
+
"step": 133
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.867132867132867,
|
| 1008 |
+
"grad_norm": 0.5935954451560974,
|
| 1009 |
+
"learning_rate": 7.679133974894984e-06,
|
| 1010 |
+
"loss": 0.5164,
|
| 1011 |
+
"step": 134
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.8811188811188813,
|
| 1015 |
+
"grad_norm": 0.568263828754425,
|
| 1016 |
+
"learning_rate": 7.638201220530664e-06,
|
| 1017 |
+
"loss": 0.509,
|
| 1018 |
+
"step": 135
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.895104895104895,
|
| 1022 |
+
"grad_norm": 0.641503095626831,
|
| 1023 |
+
"learning_rate": 7.597021954453887e-06,
|
| 1024 |
+
"loss": 0.5389,
|
| 1025 |
+
"step": 136
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.9090909090909092,
|
| 1029 |
+
"grad_norm": 0.5866712927818298,
|
| 1030 |
+
"learning_rate": 7.555600024427028e-06,
|
| 1031 |
+
"loss": 0.5163,
|
| 1032 |
+
"step": 137
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.9230769230769231,
|
| 1036 |
+
"grad_norm": 0.559259831905365,
|
| 1037 |
+
"learning_rate": 7.513939300886816e-06,
|
| 1038 |
+
"loss": 0.5074,
|
| 1039 |
+
"step": 138
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.937062937062937,
|
| 1043 |
+
"grad_norm": 0.5635555386543274,
|
| 1044 |
+
"learning_rate": 7.472043676582685e-06,
|
| 1045 |
+
"loss": 0.5184,
|
| 1046 |
+
"step": 139
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.951048951048951,
|
| 1050 |
+
"grad_norm": 0.6236100196838379,
|
| 1051 |
+
"learning_rate": 7.42991706621303e-06,
|
| 1052 |
+
"loss": 0.5162,
|
| 1053 |
+
"step": 140
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.965034965034965,
|
| 1057 |
+
"grad_norm": 0.60297691822052,
|
| 1058 |
+
"learning_rate": 7.387563406059433e-06,
|
| 1059 |
+
"loss": 0.5123,
|
| 1060 |
+
"step": 141
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 1.9790209790209792,
|
| 1064 |
+
"grad_norm": 0.5734803080558777,
|
| 1065 |
+
"learning_rate": 7.344986653618844e-06,
|
| 1066 |
+
"loss": 0.5281,
|
| 1067 |
+
"step": 142
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.993006993006993,
|
| 1071 |
+
"grad_norm": 0.561177134513855,
|
| 1072 |
+
"learning_rate": 7.302190787233808e-06,
|
| 1073 |
+
"loss": 0.5256,
|
| 1074 |
+
"step": 143
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 2.0,
|
| 1078 |
+
"grad_norm": 0.6918484568595886,
|
| 1079 |
+
"learning_rate": 7.259179805720726e-06,
|
| 1080 |
+
"loss": 0.4956,
|
| 1081 |
+
"step": 144
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 2.0,
|
| 1085 |
+
"eval_loss": 0.5634886622428894,
|
| 1086 |
+
"eval_runtime": 34.1505,
|
| 1087 |
+
"eval_samples_per_second": 18.799,
|
| 1088 |
+
"eval_steps_per_second": 2.372,
|
| 1089 |
+
"step": 144
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.013986013986014,
|
| 1093 |
+
"grad_norm": 0.6467083096504211,
|
| 1094 |
+
"learning_rate": 7.215957727996208e-06,
|
| 1095 |
+
"loss": 0.4757,
|
| 1096 |
+
"step": 145
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.027972027972028,
|
| 1100 |
+
"grad_norm": 0.628153920173645,
|
| 1101 |
+
"learning_rate": 7.17252859270155e-06,
|
| 1102 |
+
"loss": 0.4701,
|
| 1103 |
+
"step": 146
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.041958041958042,
|
| 1107 |
+
"grad_norm": 0.6287585496902466,
|
| 1108 |
+
"learning_rate": 7.128896457825364e-06,
|
| 1109 |
+
"loss": 0.4334,
|
| 1110 |
+
"step": 147
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.055944055944056,
|
| 1114 |
+
"grad_norm": 0.5704949498176575,
|
| 1115 |
+
"learning_rate": 7.085065400324407e-06,
|
| 1116 |
+
"loss": 0.4723,
|
| 1117 |
+
"step": 148
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.06993006993007,
|
| 1121 |
+
"grad_norm": 0.6293634176254272,
|
| 1122 |
+
"learning_rate": 7.041039515742626e-06,
|
| 1123 |
+
"loss": 0.4875,
|
| 1124 |
+
"step": 149
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.0839160839160837,
|
| 1128 |
+
"grad_norm": 0.7220337390899658,
|
| 1129 |
+
"learning_rate": 6.9968229178284775e-06,
|
| 1130 |
+
"loss": 0.4809,
|
| 1131 |
+
"step": 150
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.097902097902098,
|
| 1135 |
+
"grad_norm": 0.5713090896606445,
|
| 1136 |
+
"learning_rate": 6.952419738150546e-06,
|
| 1137 |
+
"loss": 0.4998,
|
| 1138 |
+
"step": 151
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.111888111888112,
|
| 1142 |
+
"grad_norm": 0.6713567972183228,
|
| 1143 |
+
"learning_rate": 6.9078341257114765e-06,
|
| 1144 |
+
"loss": 0.4837,
|
| 1145 |
+
"step": 152
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.125874125874126,
|
| 1149 |
+
"grad_norm": 0.6542858481407166,
|
| 1150 |
+
"learning_rate": 6.863070246560319e-06,
|
| 1151 |
+
"loss": 0.4798,
|
| 1152 |
+
"step": 153
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.13986013986014,
|
| 1156 |
+
"grad_norm": 0.5555688738822937,
|
| 1157 |
+
"learning_rate": 6.818132283403236e-06,
|
| 1158 |
+
"loss": 0.4593,
|
| 1159 |
+
"step": 154
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.1538461538461537,
|
| 1163 |
+
"grad_norm": 0.5947204232215881,
|
| 1164 |
+
"learning_rate": 6.773024435212678e-06,
|
| 1165 |
+
"loss": 0.4831,
|
| 1166 |
+
"step": 155
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.167832167832168,
|
| 1170 |
+
"grad_norm": 0.6230157613754272,
|
| 1171 |
+
"learning_rate": 6.7277509168350445e-06,
|
| 1172 |
+
"loss": 0.4634,
|
| 1173 |
+
"step": 156
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.1818181818181817,
|
| 1177 |
+
"grad_norm": 0.5586286783218384,
|
| 1178 |
+
"learning_rate": 6.6823159585968355e-06,
|
| 1179 |
+
"loss": 0.4803,
|
| 1180 |
+
"step": 157
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.195804195804196,
|
| 1184 |
+
"grad_norm": 0.5558333396911621,
|
| 1185 |
+
"learning_rate": 6.636723805909384e-06,
|
| 1186 |
+
"loss": 0.4734,
|
| 1187 |
+
"step": 158
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.20979020979021,
|
| 1191 |
+
"grad_norm": 0.5960513949394226,
|
| 1192 |
+
"learning_rate": 6.590978718872166e-06,
|
| 1193 |
+
"loss": 0.4746,
|
| 1194 |
+
"step": 159
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.2237762237762237,
|
| 1198 |
+
"grad_norm": 0.5779184103012085,
|
| 1199 |
+
"learning_rate": 6.545084971874738e-06,
|
| 1200 |
+
"loss": 0.4499,
|
| 1201 |
+
"step": 160
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.237762237762238,
|
| 1205 |
+
"grad_norm": 0.5827864408493042,
|
| 1206 |
+
"learning_rate": 6.499046853197338e-06,
|
| 1207 |
+
"loss": 0.4826,
|
| 1208 |
+
"step": 161
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.2517482517482517,
|
| 1212 |
+
"grad_norm": 0.6769295930862427,
|
| 1213 |
+
"learning_rate": 6.452868664610197e-06,
|
| 1214 |
+
"loss": 0.4797,
|
| 1215 |
+
"step": 162
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.2517482517482517,
|
| 1219 |
+
"eval_loss": 0.5764052271842957,
|
| 1220 |
+
"eval_runtime": 34.051,
|
| 1221 |
+
"eval_samples_per_second": 18.854,
|
| 1222 |
+
"eval_steps_per_second": 2.379,
|
| 1223 |
+
"step": 162
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 2.265734265734266,
|
| 1227 |
+
"grad_norm": 0.5850751996040344,
|
| 1228 |
+
"learning_rate": 6.406554720971583e-06,
|
| 1229 |
+
"loss": 0.4829,
|
| 1230 |
+
"step": 163
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 2.2797202797202796,
|
| 1234 |
+
"grad_norm": 0.5925103425979614,
|
| 1235 |
+
"learning_rate": 6.3601093498246215e-06,
|
| 1236 |
+
"loss": 0.4936,
|
| 1237 |
+
"step": 164
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 2.2937062937062938,
|
| 1241 |
+
"grad_norm": 0.5747277140617371,
|
| 1242 |
+
"learning_rate": 6.313536890992935e-06,
|
| 1243 |
+
"loss": 0.4686,
|
| 1244 |
+
"step": 165
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 2.3076923076923075,
|
| 1248 |
+
"grad_norm": 0.6141413450241089,
|
| 1249 |
+
"learning_rate": 6.266841696175132e-06,
|
| 1250 |
+
"loss": 0.4659,
|
| 1251 |
+
"step": 166
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 2.3216783216783217,
|
| 1255 |
+
"grad_norm": 0.5214844942092896,
|
| 1256 |
+
"learning_rate": 6.220028128538188e-06,
|
| 1257 |
+
"loss": 0.4714,
|
| 1258 |
+
"step": 167
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 2.335664335664336,
|
| 1262 |
+
"grad_norm": 0.6260507106781006,
|
| 1263 |
+
"learning_rate": 6.173100562309751e-06,
|
| 1264 |
+
"loss": 0.4731,
|
| 1265 |
+
"step": 168
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 2.3496503496503496,
|
| 1269 |
+
"grad_norm": 0.6246528625488281,
|
| 1270 |
+
"learning_rate": 6.1260633823694224e-06,
|
| 1271 |
+
"loss": 0.4575,
|
| 1272 |
+
"step": 169
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 2.3636363636363638,
|
| 1276 |
+
"grad_norm": 0.5592030882835388,
|
| 1277 |
+
"learning_rate": 6.078920983839032e-06,
|
| 1278 |
+
"loss": 0.4293,
|
| 1279 |
+
"step": 170
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 2.3776223776223775,
|
| 1283 |
+
"grad_norm": 0.5436908602714539,
|
| 1284 |
+
"learning_rate": 6.031677771671962e-06,
|
| 1285 |
+
"loss": 0.4821,
|
| 1286 |
+
"step": 171
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 2.3916083916083917,
|
| 1290 |
+
"grad_norm": 0.5873638987541199,
|
| 1291 |
+
"learning_rate": 5.984338160241552e-06,
|
| 1292 |
+
"loss": 0.4755,
|
| 1293 |
+
"step": 172
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 2.4055944055944054,
|
| 1297 |
+
"grad_norm": 0.6056978106498718,
|
| 1298 |
+
"learning_rate": 5.936906572928625e-06,
|
| 1299 |
+
"loss": 0.479,
|
| 1300 |
+
"step": 173
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 2.4195804195804196,
|
| 1304 |
+
"grad_norm": 0.5452414751052856,
|
| 1305 |
+
"learning_rate": 5.889387441708162e-06,
|
| 1306 |
+
"loss": 0.4545,
|
| 1307 |
+
"step": 174
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 2.4335664335664333,
|
| 1311 |
+
"grad_norm": 0.5708940625190735,
|
| 1312 |
+
"learning_rate": 5.841785206735192e-06,
|
| 1313 |
+
"loss": 0.4706,
|
| 1314 |
+
"step": 175
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 2.4475524475524475,
|
| 1318 |
+
"grad_norm": 0.5819888114929199,
|
| 1319 |
+
"learning_rate": 5.794104315929904e-06,
|
| 1320 |
+
"loss": 0.4608,
|
| 1321 |
+
"step": 176
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 2.4615384615384617,
|
| 1325 |
+
"grad_norm": 0.5468575358390808,
|
| 1326 |
+
"learning_rate": 5.746349224562021e-06,
|
| 1327 |
+
"loss": 0.4696,
|
| 1328 |
+
"step": 177
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 2.4755244755244754,
|
| 1332 |
+
"grad_norm": 0.6171605587005615,
|
| 1333 |
+
"learning_rate": 5.698524394834531e-06,
|
| 1334 |
+
"loss": 0.4809,
|
| 1335 |
+
"step": 178
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 2.4895104895104896,
|
| 1339 |
+
"grad_norm": 0.6046556234359741,
|
| 1340 |
+
"learning_rate": 5.650634295466717e-06,
|
| 1341 |
+
"loss": 0.4727,
|
| 1342 |
+
"step": 179
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 2.5034965034965033,
|
| 1346 |
+
"grad_norm": 0.5517058968544006,
|
| 1347 |
+
"learning_rate": 5.6026834012766155e-06,
|
| 1348 |
+
"loss": 0.4728,
|
| 1349 |
+
"step": 180
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 2.5034965034965033,
|
| 1353 |
+
"eval_loss": 0.5757314562797546,
|
| 1354 |
+
"eval_runtime": 34.5495,
|
| 1355 |
+
"eval_samples_per_second": 18.582,
|
| 1356 |
+
"eval_steps_per_second": 2.344,
|
| 1357 |
+
"step": 180
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 2.5174825174825175,
|
| 1361 |
+
"grad_norm": 0.5916588306427002,
|
| 1362 |
+
"learning_rate": 5.554676192762891e-06,
|
| 1363 |
+
"loss": 0.4738,
|
| 1364 |
+
"step": 181
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 2.5314685314685317,
|
| 1368 |
+
"grad_norm": 0.596782386302948,
|
| 1369 |
+
"learning_rate": 5.506617155686177e-06,
|
| 1370 |
+
"loss": 0.4725,
|
| 1371 |
+
"step": 182
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 2.5454545454545454,
|
| 1375 |
+
"grad_norm": 0.5784814357757568,
|
| 1376 |
+
"learning_rate": 5.458510780649932e-06,
|
| 1377 |
+
"loss": 0.4743,
|
| 1378 |
+
"step": 183
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 2.5594405594405596,
|
| 1382 |
+
"grad_norm": 0.5162186622619629,
|
| 1383 |
+
"learning_rate": 5.4103615626808426e-06,
|
| 1384 |
+
"loss": 0.4501,
|
| 1385 |
+
"step": 184
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 2.5734265734265733,
|
| 1389 |
+
"grad_norm": 0.5629183053970337,
|
| 1390 |
+
"learning_rate": 5.362174000808813e-06,
|
| 1391 |
+
"loss": 0.4631,
|
| 1392 |
+
"step": 185
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 2.5874125874125875,
|
| 1396 |
+
"grad_norm": 0.5455092191696167,
|
| 1397 |
+
"learning_rate": 5.3139525976465675e-06,
|
| 1398 |
+
"loss": 0.4839,
|
| 1399 |
+
"step": 186
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 2.6013986013986012,
|
| 1403 |
+
"grad_norm": 0.6234388947486877,
|
| 1404 |
+
"learning_rate": 5.265701858968944e-06,
|
| 1405 |
+
"loss": 0.4729,
|
| 1406 |
+
"step": 187
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 2.6153846153846154,
|
| 1410 |
+
"grad_norm": 0.5270193815231323,
|
| 1411 |
+
"learning_rate": 5.217426293291869e-06,
|
| 1412 |
+
"loss": 0.4767,
|
| 1413 |
+
"step": 188
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 2.629370629370629,
|
| 1417 |
+
"grad_norm": 0.5291939973831177,
|
| 1418 |
+
"learning_rate": 5.169130411451083e-06,
|
| 1419 |
+
"loss": 0.4659,
|
| 1420 |
+
"step": 189
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 2.6433566433566433,
|
| 1424 |
+
"grad_norm": 0.5210967063903809,
|
| 1425 |
+
"learning_rate": 5.120818726180662e-06,
|
| 1426 |
+
"loss": 0.4532,
|
| 1427 |
+
"step": 190
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 2.6573426573426575,
|
| 1431 |
+
"grad_norm": 0.5697853565216064,
|
| 1432 |
+
"learning_rate": 5.072495751691338e-06,
|
| 1433 |
+
"loss": 0.4669,
|
| 1434 |
+
"step": 191
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 2.6713286713286712,
|
| 1438 |
+
"grad_norm": 0.4967118203639984,
|
| 1439 |
+
"learning_rate": 5.024166003248703e-06,
|
| 1440 |
+
"loss": 0.4777,
|
| 1441 |
+
"step": 192
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 2.6853146853146854,
|
| 1445 |
+
"grad_norm": 0.5514243245124817,
|
| 1446 |
+
"learning_rate": 4.9758339967512995e-06,
|
| 1447 |
+
"loss": 0.4689,
|
| 1448 |
+
"step": 193
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 2.699300699300699,
|
| 1452 |
+
"grad_norm": 0.5476483702659607,
|
| 1453 |
+
"learning_rate": 4.927504248308663e-06,
|
| 1454 |
+
"loss": 0.4898,
|
| 1455 |
+
"step": 194
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 2.7132867132867133,
|
| 1459 |
+
"grad_norm": 0.5073778033256531,
|
| 1460 |
+
"learning_rate": 4.87918127381934e-06,
|
| 1461 |
+
"loss": 0.4462,
|
| 1462 |
+
"step": 195
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 2.7272727272727275,
|
| 1466 |
+
"grad_norm": 0.5061259865760803,
|
| 1467 |
+
"learning_rate": 4.830869588548918e-06,
|
| 1468 |
+
"loss": 0.4811,
|
| 1469 |
+
"step": 196
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 2.7412587412587412,
|
| 1473 |
+
"grad_norm": 0.532632052898407,
|
| 1474 |
+
"learning_rate": 4.782573706708133e-06,
|
| 1475 |
+
"loss": 0.4514,
|
| 1476 |
+
"step": 197
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 2.755244755244755,
|
| 1480 |
+
"grad_norm": 0.5079967379570007,
|
| 1481 |
+
"learning_rate": 4.734298141031057e-06,
|
| 1482 |
+
"loss": 0.4706,
|
| 1483 |
+
"step": 198
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 2.755244755244755,
|
| 1487 |
+
"eval_loss": 0.5748186111450195,
|
| 1488 |
+
"eval_runtime": 34.6547,
|
| 1489 |
+
"eval_samples_per_second": 18.526,
|
| 1490 |
+
"eval_steps_per_second": 2.337,
|
| 1491 |
+
"step": 198
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 2.769230769230769,
|
| 1495 |
+
"grad_norm": 0.5450592637062073,
|
| 1496 |
+
"learning_rate": 4.686047402353433e-06,
|
| 1497 |
+
"loss": 0.4717,
|
| 1498 |
+
"step": 199
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 2.7832167832167833,
|
| 1502 |
+
"grad_norm": 0.4929758906364441,
|
| 1503 |
+
"learning_rate": 4.637825999191189e-06,
|
| 1504 |
+
"loss": 0.469,
|
| 1505 |
+
"step": 200
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 2.797202797202797,
|
| 1509 |
+
"grad_norm": 0.514842689037323,
|
| 1510 |
+
"learning_rate": 4.589638437319157e-06,
|
| 1511 |
+
"loss": 0.4848,
|
| 1512 |
+
"step": 201
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 2.8111888111888113,
|
| 1516 |
+
"grad_norm": 0.5259736776351929,
|
| 1517 |
+
"learning_rate": 4.541489219350069e-06,
|
| 1518 |
+
"loss": 0.4676,
|
| 1519 |
+
"step": 202
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 2.825174825174825,
|
| 1523 |
+
"grad_norm": 0.571843683719635,
|
| 1524 |
+
"learning_rate": 4.493382844313826e-06,
|
| 1525 |
+
"loss": 0.482,
|
| 1526 |
+
"step": 203
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 2.839160839160839,
|
| 1530 |
+
"grad_norm": 0.49216270446777344,
|
| 1531 |
+
"learning_rate": 4.445323807237112e-06,
|
| 1532 |
+
"loss": 0.479,
|
| 1533 |
+
"step": 204
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 2.8531468531468533,
|
| 1537 |
+
"grad_norm": 0.5383098721504211,
|
| 1538 |
+
"learning_rate": 4.397316598723385e-06,
|
| 1539 |
+
"loss": 0.4517,
|
| 1540 |
+
"step": 205
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 2.867132867132867,
|
| 1544 |
+
"grad_norm": 0.5011985898017883,
|
| 1545 |
+
"learning_rate": 4.349365704533285e-06,
|
| 1546 |
+
"loss": 0.4678,
|
| 1547 |
+
"step": 206
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 2.8811188811188813,
|
| 1551 |
+
"grad_norm": 0.5291906595230103,
|
| 1552 |
+
"learning_rate": 4.301475605165471e-06,
|
| 1553 |
+
"loss": 0.4717,
|
| 1554 |
+
"step": 207
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 2.895104895104895,
|
| 1558 |
+
"grad_norm": 0.5500873923301697,
|
| 1559 |
+
"learning_rate": 4.25365077543798e-06,
|
| 1560 |
+
"loss": 0.4572,
|
| 1561 |
+
"step": 208
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 2.909090909090909,
|
| 1565 |
+
"grad_norm": 0.5690264105796814,
|
| 1566 |
+
"learning_rate": 4.205895684070099e-06,
|
| 1567 |
+
"loss": 0.4675,
|
| 1568 |
+
"step": 209
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 2.9230769230769234,
|
| 1572 |
+
"grad_norm": 0.4746716022491455,
|
| 1573 |
+
"learning_rate": 4.158214793264808e-06,
|
| 1574 |
+
"loss": 0.4579,
|
| 1575 |
+
"step": 210
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 2.937062937062937,
|
| 1579 |
+
"grad_norm": 0.5113067626953125,
|
| 1580 |
+
"learning_rate": 4.1106125582918385e-06,
|
| 1581 |
+
"loss": 0.5104,
|
| 1582 |
+
"step": 211
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 2.951048951048951,
|
| 1586 |
+
"grad_norm": 0.5272907018661499,
|
| 1587 |
+
"learning_rate": 4.063093427071376e-06,
|
| 1588 |
+
"loss": 0.4532,
|
| 1589 |
+
"step": 212
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 2.965034965034965,
|
| 1593 |
+
"grad_norm": 0.5059399008750916,
|
| 1594 |
+
"learning_rate": 4.01566183975845e-06,
|
| 1595 |
+
"loss": 0.4555,
|
| 1596 |
+
"step": 213
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 2.979020979020979,
|
| 1600 |
+
"grad_norm": 0.4909096658229828,
|
| 1601 |
+
"learning_rate": 3.968322228328041e-06,
|
| 1602 |
+
"loss": 0.4785,
|
| 1603 |
+
"step": 214
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 2.993006993006993,
|
| 1607 |
+
"grad_norm": 0.5192479491233826,
|
| 1608 |
+
"learning_rate": 3.92107901616097e-06,
|
| 1609 |
+
"loss": 0.4477,
|
| 1610 |
+
"step": 215
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 3.0,
|
| 1614 |
+
"grad_norm": 0.7363195419311523,
|
| 1615 |
+
"learning_rate": 3.873936617630578e-06,
|
| 1616 |
+
"loss": 0.4927,
|
| 1617 |
+
"step": 216
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 3.0,
|
| 1621 |
+
"eval_loss": 0.5740084052085876,
|
| 1622 |
+
"eval_runtime": 34.8551,
|
| 1623 |
+
"eval_samples_per_second": 18.419,
|
| 1624 |
+
"eval_steps_per_second": 2.324,
|
| 1625 |
+
"step": 216
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 3.013986013986014,
|
| 1629 |
+
"grad_norm": 0.5987377762794495,
|
| 1630 |
+
"learning_rate": 3.82689943769025e-06,
|
| 1631 |
+
"loss": 0.4246,
|
| 1632 |
+
"step": 217
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 3.027972027972028,
|
| 1636 |
+
"grad_norm": 0.589948832988739,
|
| 1637 |
+
"learning_rate": 3.779971871461813e-06,
|
| 1638 |
+
"loss": 0.4367,
|
| 1639 |
+
"step": 218
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 3.041958041958042,
|
| 1643 |
+
"grad_norm": 0.5003005862236023,
|
| 1644 |
+
"learning_rate": 3.7331583038248688e-06,
|
| 1645 |
+
"loss": 0.4346,
|
| 1646 |
+
"step": 219
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 3.055944055944056,
|
| 1650 |
+
"grad_norm": 0.528349757194519,
|
| 1651 |
+
"learning_rate": 3.6864631090070656e-06,
|
| 1652 |
+
"loss": 0.3993,
|
| 1653 |
+
"step": 220
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 3.06993006993007,
|
| 1657 |
+
"grad_norm": 0.5285301208496094,
|
| 1658 |
+
"learning_rate": 3.639890650175379e-06,
|
| 1659 |
+
"loss": 0.419,
|
| 1660 |
+
"step": 221
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 3.0839160839160837,
|
| 1664 |
+
"grad_norm": 0.5721102356910706,
|
| 1665 |
+
"learning_rate": 3.593445279028418e-06,
|
| 1666 |
+
"loss": 0.4328,
|
| 1667 |
+
"step": 222
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 3.097902097902098,
|
| 1671 |
+
"grad_norm": 0.5271673202514648,
|
| 1672 |
+
"learning_rate": 3.5471313353898056e-06,
|
| 1673 |
+
"loss": 0.4252,
|
| 1674 |
+
"step": 223
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 3.111888111888112,
|
| 1678 |
+
"grad_norm": 0.5354319214820862,
|
| 1679 |
+
"learning_rate": 3.5009531468026646e-06,
|
| 1680 |
+
"loss": 0.4367,
|
| 1681 |
+
"step": 224
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 3.125874125874126,
|
| 1685 |
+
"grad_norm": 0.5849824547767639,
|
| 1686 |
+
"learning_rate": 3.4549150281252635e-06,
|
| 1687 |
+
"loss": 0.4263,
|
| 1688 |
+
"step": 225
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 3.13986013986014,
|
| 1692 |
+
"grad_norm": 0.6300305128097534,
|
| 1693 |
+
"learning_rate": 3.409021281127835e-06,
|
| 1694 |
+
"loss": 0.4331,
|
| 1695 |
+
"step": 226
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 3.1538461538461537,
|
| 1699 |
+
"grad_norm": 0.5985769033432007,
|
| 1700 |
+
"learning_rate": 3.3632761940906167e-06,
|
| 1701 |
+
"loss": 0.4316,
|
| 1702 |
+
"step": 227
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"epoch": 3.167832167832168,
|
| 1706 |
+
"grad_norm": 0.5028027296066284,
|
| 1707 |
+
"learning_rate": 3.3176840414031653e-06,
|
| 1708 |
+
"loss": 0.4243,
|
| 1709 |
+
"step": 228
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 3.1818181818181817,
|
| 1713 |
+
"grad_norm": 0.5299258232116699,
|
| 1714 |
+
"learning_rate": 3.2722490831649568e-06,
|
| 1715 |
+
"loss": 0.4166,
|
| 1716 |
+
"step": 229
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 3.195804195804196,
|
| 1720 |
+
"grad_norm": 0.5425248742103577,
|
| 1721 |
+
"learning_rate": 3.226975564787322e-06,
|
| 1722 |
+
"loss": 0.4389,
|
| 1723 |
+
"step": 230
|
| 1724 |
+
},
|
| 1725 |
+
{
|
| 1726 |
+
"epoch": 3.20979020979021,
|
| 1727 |
+
"grad_norm": 0.5929123759269714,
|
| 1728 |
+
"learning_rate": 3.181867716596765e-06,
|
| 1729 |
+
"loss": 0.4288,
|
| 1730 |
+
"step": 231
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 3.2237762237762237,
|
| 1734 |
+
"grad_norm": 0.5462735891342163,
|
| 1735 |
+
"learning_rate": 3.1369297534396823e-06,
|
| 1736 |
+
"loss": 0.4434,
|
| 1737 |
+
"step": 232
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 3.237762237762238,
|
| 1741 |
+
"grad_norm": 0.4862322211265564,
|
| 1742 |
+
"learning_rate": 3.092165874288525e-06,
|
| 1743 |
+
"loss": 0.4133,
|
| 1744 |
+
"step": 233
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 3.2517482517482517,
|
| 1748 |
+
"grad_norm": 0.48885804414749146,
|
| 1749 |
+
"learning_rate": 3.0475802618494564e-06,
|
| 1750 |
+
"loss": 0.4426,
|
| 1751 |
+
"step": 234
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 3.2517482517482517,
|
| 1755 |
+
"eval_loss": 0.5924859046936035,
|
| 1756 |
+
"eval_runtime": 34.7085,
|
| 1757 |
+
"eval_samples_per_second": 18.497,
|
| 1758 |
+
"eval_steps_per_second": 2.334,
|
| 1759 |
+
"step": 234
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 3.265734265734266,
|
| 1763 |
+
"grad_norm": 0.4652189314365387,
|
| 1764 |
+
"learning_rate": 3.0031770821715233e-06,
|
| 1765 |
+
"loss": 0.4189,
|
| 1766 |
+
"step": 235
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 3.2797202797202796,
|
| 1770 |
+
"grad_norm": 0.5389134883880615,
|
| 1771 |
+
"learning_rate": 2.9589604842573762e-06,
|
| 1772 |
+
"loss": 0.4226,
|
| 1773 |
+
"step": 236
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 3.2937062937062938,
|
| 1777 |
+
"grad_norm": 0.507276177406311,
|
| 1778 |
+
"learning_rate": 2.914934599675594e-06,
|
| 1779 |
+
"loss": 0.4084,
|
| 1780 |
+
"step": 237
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 3.3076923076923075,
|
| 1784 |
+
"grad_norm": 0.4876704216003418,
|
| 1785 |
+
"learning_rate": 2.871103542174637e-06,
|
| 1786 |
+
"loss": 0.4256,
|
| 1787 |
+
"step": 238
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 3.3216783216783217,
|
| 1791 |
+
"grad_norm": 0.48441073298454285,
|
| 1792 |
+
"learning_rate": 2.827471407298451e-06,
|
| 1793 |
+
"loss": 0.4297,
|
| 1794 |
+
"step": 239
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 3.335664335664336,
|
| 1798 |
+
"grad_norm": 0.4634881317615509,
|
| 1799 |
+
"learning_rate": 2.7840422720037943e-06,
|
| 1800 |
+
"loss": 0.4227,
|
| 1801 |
+
"step": 240
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 3.3496503496503496,
|
| 1805 |
+
"grad_norm": 0.49520549178123474,
|
| 1806 |
+
"learning_rate": 2.7408201942792755e-06,
|
| 1807 |
+
"loss": 0.414,
|
| 1808 |
+
"step": 241
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 3.3636363636363638,
|
| 1812 |
+
"grad_norm": 0.4892767369747162,
|
| 1813 |
+
"learning_rate": 2.697809212766195e-06,
|
| 1814 |
+
"loss": 0.4326,
|
| 1815 |
+
"step": 242
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 3.3776223776223775,
|
| 1819 |
+
"grad_norm": 0.4968920052051544,
|
| 1820 |
+
"learning_rate": 2.655013346381158e-06,
|
| 1821 |
+
"loss": 0.4327,
|
| 1822 |
+
"step": 243
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 3.3916083916083917,
|
| 1826 |
+
"grad_norm": 0.4823973476886749,
|
| 1827 |
+
"learning_rate": 2.612436593940568e-06,
|
| 1828 |
+
"loss": 0.4329,
|
| 1829 |
+
"step": 244
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 3.4055944055944054,
|
| 1833 |
+
"grad_norm": 0.4838135540485382,
|
| 1834 |
+
"learning_rate": 2.57008293378697e-06,
|
| 1835 |
+
"loss": 0.4206,
|
| 1836 |
+
"step": 245
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 3.4195804195804196,
|
| 1840 |
+
"grad_norm": 0.47422581911087036,
|
| 1841 |
+
"learning_rate": 2.5279563234173177e-06,
|
| 1842 |
+
"loss": 0.4336,
|
| 1843 |
+
"step": 246
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 3.4335664335664333,
|
| 1847 |
+
"grad_norm": 0.4846055209636688,
|
| 1848 |
+
"learning_rate": 2.4860606991131857e-06,
|
| 1849 |
+
"loss": 0.4184,
|
| 1850 |
+
"step": 247
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 3.4475524475524475,
|
| 1854 |
+
"grad_norm": 0.5305242538452148,
|
| 1855 |
+
"learning_rate": 2.444399975572974e-06,
|
| 1856 |
+
"loss": 0.4394,
|
| 1857 |
+
"step": 248
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 3.4615384615384617,
|
| 1861 |
+
"grad_norm": 0.487332820892334,
|
| 1862 |
+
"learning_rate": 2.402978045546114e-06,
|
| 1863 |
+
"loss": 0.4033,
|
| 1864 |
+
"step": 249
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 3.4755244755244754,
|
| 1868 |
+
"grad_norm": 0.4706343114376068,
|
| 1869 |
+
"learning_rate": 2.3617987794693358e-06,
|
| 1870 |
+
"loss": 0.4408,
|
| 1871 |
+
"step": 250
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 3.4895104895104896,
|
| 1875 |
+
"grad_norm": 0.503103494644165,
|
| 1876 |
+
"learning_rate": 2.320866025105016e-06,
|
| 1877 |
+
"loss": 0.4166,
|
| 1878 |
+
"step": 251
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 3.5034965034965033,
|
| 1882 |
+
"grad_norm": 0.5077600479125977,
|
| 1883 |
+
"learning_rate": 2.2801836071816476e-06,
|
| 1884 |
+
"loss": 0.4423,
|
| 1885 |
+
"step": 252
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 3.5034965034965033,
|
| 1889 |
+
"eval_loss": 0.5952551364898682,
|
| 1890 |
+
"eval_runtime": 33.5546,
|
| 1891 |
+
"eval_samples_per_second": 19.133,
|
| 1892 |
+
"eval_steps_per_second": 2.414,
|
| 1893 |
+
"step": 252
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 3.5174825174825175,
|
| 1897 |
+
"grad_norm": 0.48870253562927246,
|
| 1898 |
+
"learning_rate": 2.2397553270364546e-06,
|
| 1899 |
+
"loss": 0.4241,
|
| 1900 |
+
"step": 253
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 3.5314685314685317,
|
| 1904 |
+
"grad_norm": 0.4966093897819519,
|
| 1905 |
+
"learning_rate": 2.1995849622602017e-06,
|
| 1906 |
+
"loss": 0.4396,
|
| 1907 |
+
"step": 254
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 3.5454545454545454,
|
| 1911 |
+
"grad_norm": 0.4564977288246155,
|
| 1912 |
+
"learning_rate": 2.159676266344222e-06,
|
| 1913 |
+
"loss": 0.4223,
|
| 1914 |
+
"step": 255
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 3.5594405594405596,
|
| 1918 |
+
"grad_norm": 0.46915507316589355,
|
| 1919 |
+
"learning_rate": 2.120032968329687e-06,
|
| 1920 |
+
"loss": 0.4283,
|
| 1921 |
+
"step": 256
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 3.5734265734265733,
|
| 1925 |
+
"grad_norm": 0.49805694818496704,
|
| 1926 |
+
"learning_rate": 2.0806587724591725e-06,
|
| 1927 |
+
"loss": 0.4382,
|
| 1928 |
+
"step": 257
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 3.5874125874125875,
|
| 1932 |
+
"grad_norm": 0.48657479882240295,
|
| 1933 |
+
"learning_rate": 2.0415573578305343e-06,
|
| 1934 |
+
"loss": 0.4378,
|
| 1935 |
+
"step": 258
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 3.6013986013986012,
|
| 1939 |
+
"grad_norm": 0.46977299451828003,
|
| 1940 |
+
"learning_rate": 2.0027323780531312e-06,
|
| 1941 |
+
"loss": 0.4224,
|
| 1942 |
+
"step": 259
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 3.6153846153846154,
|
| 1946 |
+
"grad_norm": 0.49343907833099365,
|
| 1947 |
+
"learning_rate": 1.9641874609064443e-06,
|
| 1948 |
+
"loss": 0.4088,
|
| 1949 |
+
"step": 260
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 3.629370629370629,
|
| 1953 |
+
"grad_norm": 0.4801478385925293,
|
| 1954 |
+
"learning_rate": 1.9259262080010938e-06,
|
| 1955 |
+
"loss": 0.419,
|
| 1956 |
+
"step": 261
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 3.6433566433566433,
|
| 1960 |
+
"grad_norm": 0.4632829427719116,
|
| 1961 |
+
"learning_rate": 1.887952194442309e-06,
|
| 1962 |
+
"loss": 0.4185,
|
| 1963 |
+
"step": 262
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 3.6573426573426575,
|
| 1967 |
+
"grad_norm": 0.4722610414028168,
|
| 1968 |
+
"learning_rate": 1.8502689684958664e-06,
|
| 1969 |
+
"loss": 0.4223,
|
| 1970 |
+
"step": 263
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 3.6713286713286712,
|
| 1974 |
+
"grad_norm": 0.46521317958831787,
|
| 1975 |
+
"learning_rate": 1.8128800512565514e-06,
|
| 1976 |
+
"loss": 0.4311,
|
| 1977 |
+
"step": 264
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 3.6853146853146854,
|
| 1981 |
+
"grad_norm": 0.49360647797584534,
|
| 1982 |
+
"learning_rate": 1.7757889363191484e-06,
|
| 1983 |
+
"loss": 0.4336,
|
| 1984 |
+
"step": 265
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 3.699300699300699,
|
| 1988 |
+
"grad_norm": 0.46490150690078735,
|
| 1989 |
+
"learning_rate": 1.738999089451991e-06,
|
| 1990 |
+
"loss": 0.41,
|
| 1991 |
+
"step": 266
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 3.7132867132867133,
|
| 1995 |
+
"grad_norm": 0.47419989109039307,
|
| 1996 |
+
"learning_rate": 1.7025139482731385e-06,
|
| 1997 |
+
"loss": 0.4489,
|
| 1998 |
+
"step": 267
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 3.7272727272727275,
|
| 2002 |
+
"grad_norm": 0.4471936821937561,
|
| 2003 |
+
"learning_rate": 1.6663369219291558e-06,
|
| 2004 |
+
"loss": 0.4075,
|
| 2005 |
+
"step": 268
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 3.7412587412587412,
|
| 2009 |
+
"grad_norm": 0.4871998727321625,
|
| 2010 |
+
"learning_rate": 1.6304713907765713e-06,
|
| 2011 |
+
"loss": 0.4138,
|
| 2012 |
+
"step": 269
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 3.755244755244755,
|
| 2016 |
+
"grad_norm": 0.4558921754360199,
|
| 2017 |
+
"learning_rate": 1.5949207060660138e-06,
|
| 2018 |
+
"loss": 0.4209,
|
| 2019 |
+
"step": 270
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 3.755244755244755,
|
| 2023 |
+
"eval_loss": 0.5941651463508606,
|
| 2024 |
+
"eval_runtime": 34.8033,
|
| 2025 |
+
"eval_samples_per_second": 18.447,
|
| 2026 |
+
"eval_steps_per_second": 2.327,
|
| 2027 |
+
"step": 270
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 3.769230769230769,
|
| 2031 |
+
"grad_norm": 0.43444135785102844,
|
| 2032 |
+
"learning_rate": 1.55968818962908e-06,
|
| 2033 |
+
"loss": 0.4186,
|
| 2034 |
+
"step": 271
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 3.7832167832167833,
|
| 2038 |
+
"grad_norm": 0.47602659463882446,
|
| 2039 |
+
"learning_rate": 1.5247771335679372e-06,
|
| 2040 |
+
"loss": 0.4138,
|
| 2041 |
+
"step": 272
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 3.797202797202797,
|
| 2045 |
+
"grad_norm": 0.4794568121433258,
|
| 2046 |
+
"learning_rate": 1.4901907999477167e-06,
|
| 2047 |
+
"loss": 0.4512,
|
| 2048 |
+
"step": 273
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 3.8111888111888113,
|
| 2052 |
+
"grad_norm": 0.47370994091033936,
|
| 2053 |
+
"learning_rate": 1.4559324204917102e-06,
|
| 2054 |
+
"loss": 0.4446,
|
| 2055 |
+
"step": 274
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 3.825174825174825,
|
| 2059 |
+
"grad_norm": 0.4493069052696228,
|
| 2060 |
+
"learning_rate": 1.4220051962793952e-06,
|
| 2061 |
+
"loss": 0.4316,
|
| 2062 |
+
"step": 275
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"epoch": 3.839160839160839,
|
| 2066 |
+
"grad_norm": 0.4439810812473297,
|
| 2067 |
+
"learning_rate": 1.3884122974473307e-06,
|
| 2068 |
+
"loss": 0.4276,
|
| 2069 |
+
"step": 276
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 3.8531468531468533,
|
| 2073 |
+
"grad_norm": 0.44139519333839417,
|
| 2074 |
+
"learning_rate": 1.3551568628929434e-06,
|
| 2075 |
+
"loss": 0.427,
|
| 2076 |
+
"step": 277
|
| 2077 |
+
},
|
| 2078 |
+
{
|
| 2079 |
+
"epoch": 3.867132867132867,
|
| 2080 |
+
"grad_norm": 0.45054903626441956,
|
| 2081 |
+
"learning_rate": 1.3222419999812248e-06,
|
| 2082 |
+
"loss": 0.4356,
|
| 2083 |
+
"step": 278
|
| 2084 |
+
},
|
| 2085 |
+
{
|
| 2086 |
+
"epoch": 3.8811188811188813,
|
| 2087 |
+
"grad_norm": 0.44140151143074036,
|
| 2088 |
+
"learning_rate": 1.2896707842543898e-06,
|
| 2089 |
+
"loss": 0.4287,
|
| 2090 |
+
"step": 279
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 3.895104895104895,
|
| 2094 |
+
"grad_norm": 0.4277818202972412,
|
| 2095 |
+
"learning_rate": 1.257446259144494e-06,
|
| 2096 |
+
"loss": 0.4298,
|
| 2097 |
+
"step": 280
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 3.909090909090909,
|
| 2101 |
+
"grad_norm": 0.4403057098388672,
|
| 2102 |
+
"learning_rate": 1.225571435689062e-06,
|
| 2103 |
+
"loss": 0.4185,
|
| 2104 |
+
"step": 281
|
| 2105 |
+
},
|
| 2106 |
+
{
|
| 2107 |
+
"epoch": 3.9230769230769234,
|
| 2108 |
+
"grad_norm": 0.4724678099155426,
|
| 2109 |
+
"learning_rate": 1.1940492922497337e-06,
|
| 2110 |
+
"loss": 0.4465,
|
| 2111 |
+
"step": 282
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 3.937062937062937,
|
| 2115 |
+
"grad_norm": 0.47128820419311523,
|
| 2116 |
+
"learning_rate": 1.1628827742339688e-06,
|
| 2117 |
+
"loss": 0.4126,
|
| 2118 |
+
"step": 283
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"epoch": 3.951048951048951,
|
| 2122 |
+
"grad_norm": 0.4331970512866974,
|
| 2123 |
+
"learning_rate": 1.1320747938198356e-06,
|
| 2124 |
+
"loss": 0.4105,
|
| 2125 |
+
"step": 284
|
| 2126 |
+
},
|
| 2127 |
+
{
|
| 2128 |
+
"epoch": 3.965034965034965,
|
| 2129 |
+
"grad_norm": 0.4537077844142914,
|
| 2130 |
+
"learning_rate": 1.1016282296838887e-06,
|
| 2131 |
+
"loss": 0.4257,
|
| 2132 |
+
"step": 285
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 3.979020979020979,
|
| 2136 |
+
"grad_norm": 0.46981024742126465,
|
| 2137 |
+
"learning_rate": 1.0715459267321998e-06,
|
| 2138 |
+
"loss": 0.4336,
|
| 2139 |
+
"step": 286
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 3.993006993006993,
|
| 2143 |
+
"grad_norm": 0.4497096538543701,
|
| 2144 |
+
"learning_rate": 1.0418306958345214e-06,
|
| 2145 |
+
"loss": 0.4326,
|
| 2146 |
+
"step": 287
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 4.0,
|
| 2150 |
+
"grad_norm": 0.6176419258117676,
|
| 2151 |
+
"learning_rate": 1.0124853135616475e-06,
|
| 2152 |
+
"loss": 0.4261,
|
| 2153 |
+
"step": 288
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 4.0,
|
| 2157 |
+
"eval_loss": 0.594137966632843,
|
| 2158 |
+
"eval_runtime": 35.3287,
|
| 2159 |
+
"eval_samples_per_second": 18.172,
|
| 2160 |
+
"eval_steps_per_second": 2.293,
|
| 2161 |
+
"step": 288
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"epoch": 4.013986013986014,
|
| 2165 |
+
"grad_norm": 0.48881927132606506,
|
| 2166 |
+
"learning_rate": 9.835125219259694e-07,
|
| 2167 |
+
"loss": 0.4126,
|
| 2168 |
+
"step": 289
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 4.027972027972028,
|
| 2172 |
+
"grad_norm": 0.47744905948638916,
|
| 2173 |
+
"learning_rate": 9.549150281252633e-07,
|
| 2174 |
+
"loss": 0.3887,
|
| 2175 |
+
"step": 290
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 4.041958041958042,
|
| 2179 |
+
"grad_norm": 0.4749980568885803,
|
| 2180 |
+
"learning_rate": 9.266955042897357e-07,
|
| 2181 |
+
"loss": 0.4085,
|
| 2182 |
+
"step": 291
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"epoch": 4.055944055944056,
|
| 2186 |
+
"grad_norm": 0.4653206169605255,
|
| 2187 |
+
"learning_rate": 8.988565872323362e-07,
|
| 2188 |
+
"loss": 0.3949,
|
| 2189 |
+
"step": 292
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"epoch": 4.06993006993007,
|
| 2193 |
+
"grad_norm": 0.44160446524620056,
|
| 2194 |
+
"learning_rate": 8.714008782023797e-07,
|
| 2195 |
+
"loss": 0.4049,
|
| 2196 |
+
"step": 293
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 4.083916083916084,
|
| 2200 |
+
"grad_norm": 0.43797171115875244,
|
| 2201 |
+
"learning_rate": 8.443309426424862e-07,
|
| 2202 |
+
"loss": 0.4038,
|
| 2203 |
+
"step": 294
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"epoch": 4.0979020979020975,
|
| 2207 |
+
"grad_norm": 0.4569723904132843,
|
| 2208 |
+
"learning_rate": 8.176493099488664e-07,
|
| 2209 |
+
"loss": 0.3956,
|
| 2210 |
+
"step": 295
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 4.111888111888112,
|
| 2214 |
+
"grad_norm": 0.47445249557495117,
|
| 2215 |
+
"learning_rate": 7.913584732349788e-07,
|
| 2216 |
+
"loss": 0.4107,
|
| 2217 |
+
"step": 296
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 4.125874125874126,
|
| 2221 |
+
"grad_norm": 0.46384716033935547,
|
| 2222 |
+
"learning_rate": 7.654608890985709e-07,
|
| 2223 |
+
"loss": 0.3895,
|
| 2224 |
+
"step": 297
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 4.13986013986014,
|
| 2228 |
+
"grad_norm": 0.47651711106300354,
|
| 2229 |
+
"learning_rate": 7.399589773921412e-07,
|
| 2230 |
+
"loss": 0.3859,
|
| 2231 |
+
"step": 298
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"epoch": 4.153846153846154,
|
| 2235 |
+
"grad_norm": 0.4623275697231293,
|
| 2236 |
+
"learning_rate": 7.148551209968279e-07,
|
| 2237 |
+
"loss": 0.394,
|
| 2238 |
+
"step": 299
|
| 2239 |
+
},
|
| 2240 |
+
{
|
| 2241 |
+
"epoch": 4.1678321678321675,
|
| 2242 |
+
"grad_norm": 0.4649985432624817,
|
| 2243 |
+
"learning_rate": 6.901516655997536e-07,
|
| 2244 |
+
"loss": 0.4108,
|
| 2245 |
+
"step": 300
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"epoch": 4.181818181818182,
|
| 2249 |
+
"grad_norm": 0.4691464304924011,
|
| 2250 |
+
"learning_rate": 6.658509194748463e-07,
|
| 2251 |
+
"loss": 0.3626,
|
| 2252 |
+
"step": 301
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 4.195804195804196,
|
| 2256 |
+
"grad_norm": 0.48455217480659485,
|
| 2257 |
+
"learning_rate": 6.419551532671542e-07,
|
| 2258 |
+
"loss": 0.4172,
|
| 2259 |
+
"step": 302
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 4.20979020979021,
|
| 2263 |
+
"grad_norm": 0.482030987739563,
|
| 2264 |
+
"learning_rate": 6.184665997806832e-07,
|
| 2265 |
+
"loss": 0.4038,
|
| 2266 |
+
"step": 303
|
| 2267 |
+
},
|
| 2268 |
+
{
|
| 2269 |
+
"epoch": 4.223776223776224,
|
| 2270 |
+
"grad_norm": 0.4398139715194702,
|
| 2271 |
+
"learning_rate": 5.953874537697573e-07,
|
| 2272 |
+
"loss": 0.4033,
|
| 2273 |
+
"step": 304
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"epoch": 4.2377622377622375,
|
| 2277 |
+
"grad_norm": 0.46925652027130127,
|
| 2278 |
+
"learning_rate": 5.727198717339511e-07,
|
| 2279 |
+
"loss": 0.4091,
|
| 2280 |
+
"step": 305
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 4.251748251748252,
|
| 2284 |
+
"grad_norm": 0.46952134370803833,
|
| 2285 |
+
"learning_rate": 5.504659717165812e-07,
|
| 2286 |
+
"loss": 0.4111,
|
| 2287 |
+
"step": 306
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"epoch": 4.251748251748252,
|
| 2291 |
+
"eval_loss": 0.6070981025695801,
|
| 2292 |
+
"eval_runtime": 35.5097,
|
| 2293 |
+
"eval_samples_per_second": 18.08,
|
| 2294 |
+
"eval_steps_per_second": 2.281,
|
| 2295 |
+
"step": 306
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 4.265734265734266,
|
| 2299 |
+
"grad_norm": 0.45535174012184143,
|
| 2300 |
+
"learning_rate": 5.286278331068018e-07,
|
| 2301 |
+
"loss": 0.4128,
|
| 2302 |
+
"step": 307
|
| 2303 |
+
},
|
| 2304 |
+
{
|
| 2305 |
+
"epoch": 4.27972027972028,
|
| 2306 |
+
"grad_norm": 0.4438033998012543,
|
| 2307 |
+
"learning_rate": 5.072074964453055e-07,
|
| 2308 |
+
"loss": 0.4052,
|
| 2309 |
+
"step": 308
|
| 2310 |
+
},
|
| 2311 |
+
{
|
| 2312 |
+
"epoch": 4.293706293706293,
|
| 2313 |
+
"grad_norm": 0.4887377917766571,
|
| 2314 |
+
"learning_rate": 4.862069632336558e-07,
|
| 2315 |
+
"loss": 0.3894,
|
| 2316 |
+
"step": 309
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 4.3076923076923075,
|
| 2320 |
+
"grad_norm": 0.4616340100765228,
|
| 2321 |
+
"learning_rate": 4.6562819574727304e-07,
|
| 2322 |
+
"loss": 0.4242,
|
| 2323 |
+
"step": 310
|
| 2324 |
+
},
|
| 2325 |
+
{
|
| 2326 |
+
"epoch": 4.321678321678322,
|
| 2327 |
+
"grad_norm": 0.44037091732025146,
|
| 2328 |
+
"learning_rate": 4.454731168520754e-07,
|
| 2329 |
+
"loss": 0.4052,
|
| 2330 |
+
"step": 311
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 4.335664335664336,
|
| 2334 |
+
"grad_norm": 0.4455097019672394,
|
| 2335 |
+
"learning_rate": 4.257436098248091e-07,
|
| 2336 |
+
"loss": 0.3882,
|
| 2337 |
+
"step": 312
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 4.34965034965035,
|
| 2341 |
+
"grad_norm": 0.47457605600357056,
|
| 2342 |
+
"learning_rate": 4.064415181770787e-07,
|
| 2343 |
+
"loss": 0.4102,
|
| 2344 |
+
"step": 313
|
| 2345 |
+
},
|
| 2346 |
+
{
|
| 2347 |
+
"epoch": 4.363636363636363,
|
| 2348 |
+
"grad_norm": 0.4474296271800995,
|
| 2349 |
+
"learning_rate": 3.875686454830885e-07,
|
| 2350 |
+
"loss": 0.3866,
|
| 2351 |
+
"step": 314
|
| 2352 |
+
},
|
| 2353 |
+
{
|
| 2354 |
+
"epoch": 4.3776223776223775,
|
| 2355 |
+
"grad_norm": 0.44111815094947815,
|
| 2356 |
+
"learning_rate": 3.691267552111183e-07,
|
| 2357 |
+
"loss": 0.4091,
|
| 2358 |
+
"step": 315
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 4.391608391608392,
|
| 2362 |
+
"grad_norm": 0.46066638827323914,
|
| 2363 |
+
"learning_rate": 3.511175705587433e-07,
|
| 2364 |
+
"loss": 0.422,
|
| 2365 |
+
"step": 316
|
| 2366 |
+
},
|
| 2367 |
+
{
|
| 2368 |
+
"epoch": 4.405594405594406,
|
| 2369 |
+
"grad_norm": 0.4345090389251709,
|
| 2370 |
+
"learning_rate": 3.3354277429182626e-07,
|
| 2371 |
+
"loss": 0.3882,
|
| 2372 |
+
"step": 317
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 4.41958041958042,
|
| 2376 |
+
"grad_norm": 0.462768018245697,
|
| 2377 |
+
"learning_rate": 3.164040085872755e-07,
|
| 2378 |
+
"loss": 0.4125,
|
| 2379 |
+
"step": 318
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 4.433566433566433,
|
| 2383 |
+
"grad_norm": 0.4575034976005554,
|
| 2384 |
+
"learning_rate": 2.997028748796016e-07,
|
| 2385 |
+
"loss": 0.4138,
|
| 2386 |
+
"step": 319
|
| 2387 |
+
},
|
| 2388 |
+
{
|
| 2389 |
+
"epoch": 4.4475524475524475,
|
| 2390 |
+
"grad_norm": 0.43728622794151306,
|
| 2391 |
+
"learning_rate": 2.834409337112842e-07,
|
| 2392 |
+
"loss": 0.4133,
|
| 2393 |
+
"step": 320
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 4.461538461538462,
|
| 2397 |
+
"grad_norm": 0.4533195495605469,
|
| 2398 |
+
"learning_rate": 2.676197045869511e-07,
|
| 2399 |
+
"loss": 0.4067,
|
| 2400 |
+
"step": 321
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 4.475524475524476,
|
| 2404 |
+
"grad_norm": 0.44842609763145447,
|
| 2405 |
+
"learning_rate": 2.522406658313997e-07,
|
| 2406 |
+
"loss": 0.4042,
|
| 2407 |
+
"step": 322
|
| 2408 |
+
},
|
| 2409 |
+
{
|
| 2410 |
+
"epoch": 4.489510489510489,
|
| 2411 |
+
"grad_norm": 0.4315699636936188,
|
| 2412 |
+
"learning_rate": 2.3730525445146146e-07,
|
| 2413 |
+
"loss": 0.3969,
|
| 2414 |
+
"step": 323
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 4.503496503496503,
|
| 2418 |
+
"grad_norm": 0.43630900979042053,
|
| 2419 |
+
"learning_rate": 2.2281486600173207e-07,
|
| 2420 |
+
"loss": 0.3907,
|
| 2421 |
+
"step": 324
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 4.503496503496503,
|
| 2425 |
+
"eval_loss": 0.6088654398918152,
|
| 2426 |
+
"eval_runtime": 35.0812,
|
| 2427 |
+
"eval_samples_per_second": 18.3,
|
| 2428 |
+
"eval_steps_per_second": 2.309,
|
| 2429 |
+
"step": 324
|
| 2430 |
+
}
|
| 2431 |
+
],
|
| 2432 |
+
"logging_steps": 1,
|
| 2433 |
+
"max_steps": 355,
|
| 2434 |
+
"num_input_tokens_seen": 0,
|
| 2435 |
+
"num_train_epochs": 5,
|
| 2436 |
+
"save_steps": 36,
|
| 2437 |
+
"stateful_callbacks": {
|
| 2438 |
+
"TrainerControl": {
|
| 2439 |
+
"args": {
|
| 2440 |
+
"should_epoch_stop": false,
|
| 2441 |
+
"should_evaluate": false,
|
| 2442 |
+
"should_log": false,
|
| 2443 |
+
"should_save": true,
|
| 2444 |
+
"should_training_stop": false
|
| 2445 |
+
},
|
| 2446 |
+
"attributes": {}
|
| 2447 |
+
}
|
| 2448 |
+
},
|
| 2449 |
+
"total_flos": 4.819466927829156e+17,
|
| 2450 |
+
"train_batch_size": 1,
|
| 2451 |
+
"trial_name": null,
|
| 2452 |
+
"trial_params": null
|
| 2453 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|