nRuaif
commited on
Commit
·
ce6eae7
1
Parent(s):
367849e
Upload folder using huggingface_hub
Browse files- checkpoint-100/README.md +21 -0
- checkpoint-100/adapter_config.json +26 -0
- checkpoint-100/adapter_model.bin +3 -0
- checkpoint-100/adapter_model/README.md +21 -0
- checkpoint-100/adapter_model/adapter_config.json +26 -0
- checkpoint-100/adapter_model/adapter_model.bin +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/relora/model-00001-of-00003.safetensors +3 -0
- checkpoint-100/relora/model-00002-of-00003.safetensors +3 -0
- checkpoint-100/relora/model-00003-of-00003.safetensors +3 -0
- checkpoint-100/relora/model.safetensors.index.json +1 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/trainer_state.json +619 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-25/relora/Untitled.ipynb +128 -0
checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.6.0.dev0
|
checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-Llama2-13b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"up_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"gate_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"q_proj",
|
| 23 |
+
"k_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-100/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a90fb2b66b881159d39d877f8c179502920bcf11ecab6caa70233a2ef02ce68
|
| 3 |
+
size 125374989
|
checkpoint-100/adapter_model/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.6.0.dev0
|
checkpoint-100/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "NousResearch/Nous-Hermes-Llama2-13b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"up_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"gate_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"q_proj",
|
| 23 |
+
"k_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-100/adapter_model/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a90fb2b66b881159d39d877f8c179502920bcf11ecab6caa70233a2ef02ce68
|
| 3 |
+
size 125374989
|
checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48f5d37ede2a8840a2a9bd33ee93e2e3026d003484c760f39063e43cb0a6d315
|
| 3 |
+
size 63343327
|
checkpoint-100/relora/model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f242d3dd27f6435718f8e610c35682138d2fe9b5b9842863fda4ae59e526a29
|
| 3 |
+
size 9949019216
|
checkpoint-100/relora/model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca3f4bc96be85852a7225fc3a29d46fd585595d94f97391377b0c95a58292570
|
| 3 |
+
size 9904127520
|
checkpoint-100/relora/model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1ba5d477b910201e2cd89a3a55b3781010ba5d9ea33bf545d427764ba5af789
|
| 3 |
+
size 6179288912
|
checkpoint-100/relora/model.safetensors.index.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"metadata": {}, "weight_map": {"lm_head.weight": "model-00003-of-00003.safetensors", "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.32.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.32.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.33.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.33.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.34.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.34.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.35.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.35.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.36.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.36.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.36.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.36.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.37.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.37.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.37.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.37.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.38.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.38.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.38.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.38.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.39.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.39.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.39.self_attn.rotary_emb.inv_freq": "model-00003-of-00003.safetensors", "model.layers.39.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.norm.weight": "model-00003-of-00003.safetensors", "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.21.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.22.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.23.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.23.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.24.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.24.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.25.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.25.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.26.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.26.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.27.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.27.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.28.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.28.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.29.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.29.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.30.self_attn.rotary_emb.inv_freq": "model-00002-of-00003.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.2.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.3.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.4.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.5.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.6.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.7.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.rotary_emb.inv_freq": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors"}}
|
checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f859e09f9c63c3a0d598d9cd384df405afe673c292f72ea1846b699acb756195
|
| 3 |
+
size 14575
|
checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a92b63db7b6f6dc9b8cb5373d858a657576ee999406732012cbb80c33420ce66
|
| 3 |
+
size 188692111
|
checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,619 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.797752808988764,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 1e-05,
|
| 14 |
+
"loss": 1.6702,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 1.5e-05,
|
| 20 |
+
"loss": 1.5262,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.05,
|
| 25 |
+
"learning_rate": 2e-05,
|
| 26 |
+
"loss": 1.8831,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.07,
|
| 31 |
+
"learning_rate": 2.5e-05,
|
| 32 |
+
"loss": 1.6531,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.09,
|
| 37 |
+
"learning_rate": 3e-05,
|
| 38 |
+
"loss": 1.6833,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.11,
|
| 43 |
+
"learning_rate": 3.5e-05,
|
| 44 |
+
"loss": 1.7288,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.13,
|
| 49 |
+
"learning_rate": 4e-05,
|
| 50 |
+
"loss": 1.5015,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.14,
|
| 55 |
+
"learning_rate": 4.5e-05,
|
| 56 |
+
"loss": 1.6876,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.16,
|
| 61 |
+
"learning_rate": 5e-05,
|
| 62 |
+
"loss": 1.6648,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.18,
|
| 67 |
+
"learning_rate": 4.998766400914329e-05,
|
| 68 |
+
"loss": 1.8044,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2,
|
| 73 |
+
"learning_rate": 4.995066821070679e-05,
|
| 74 |
+
"loss": 1.6566,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.22,
|
| 79 |
+
"learning_rate": 4.9889049115077005e-05,
|
| 80 |
+
"loss": 1.6917,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.23,
|
| 85 |
+
"learning_rate": 4.980286753286195e-05,
|
| 86 |
+
"loss": 1.6271,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.25,
|
| 91 |
+
"learning_rate": 4.9692208514878444e-05,
|
| 92 |
+
"loss": 1.7478,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.27,
|
| 97 |
+
"learning_rate": 4.9557181268217227e-05,
|
| 98 |
+
"loss": 1.606,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.29,
|
| 103 |
+
"learning_rate": 4.939791904846869e-05,
|
| 104 |
+
"loss": 1.6176,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.31,
|
| 109 |
+
"learning_rate": 4.9214579028215776e-05,
|
| 110 |
+
"loss": 1.7205,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.32,
|
| 115 |
+
"learning_rate": 4.900734214192358e-05,
|
| 116 |
+
"loss": 1.5682,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.34,
|
| 121 |
+
"learning_rate": 4.877641290737884e-05,
|
| 122 |
+
"loss": 1.6807,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.36,
|
| 127 |
+
"learning_rate": 4.852201922385564e-05,
|
| 128 |
+
"loss": 1.6137,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.38,
|
| 133 |
+
"learning_rate": 4.8244412147206284e-05,
|
| 134 |
+
"loss": 1.6352,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.4,
|
| 139 |
+
"learning_rate": 4.794386564209953e-05,
|
| 140 |
+
"loss": 1.5979,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.41,
|
| 145 |
+
"learning_rate": 4.762067631165049e-05,
|
| 146 |
+
"loss": 1.6163,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.43,
|
| 151 |
+
"learning_rate": 4.72751631047092e-08,
|
| 152 |
+
"loss": 1.6513,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.45,
|
| 157 |
+
"learning_rate": 1.5667160778366258e-05,
|
| 158 |
+
"loss": 1.5181,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.47,
|
| 163 |
+
"learning_rate": 3.102787330029076e-05,
|
| 164 |
+
"loss": 1.544,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.49,
|
| 169 |
+
"learning_rate": 4.610819813755038e-05,
|
| 170 |
+
"loss": 1.4473,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.5,
|
| 175 |
+
"learning_rate": 4.567701435686404e-05,
|
| 176 |
+
"loss": 1.6461,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.52,
|
| 181 |
+
"learning_rate": 4.522542485937369e-05,
|
| 182 |
+
"loss": 1.519,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.54,
|
| 187 |
+
"learning_rate": 4.4753875309392266e-05,
|
| 188 |
+
"loss": 1.5967,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.56,
|
| 193 |
+
"learning_rate": 4.426283106939474e-05,
|
| 194 |
+
"loss": 1.6351,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.58,
|
| 199 |
+
"learning_rate": 4.375277674076149e-05,
|
| 200 |
+
"loss": 1.5408,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.59,
|
| 205 |
+
"learning_rate": 4.3224215685535294e-05,
|
| 206 |
+
"loss": 1.6087,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.61,
|
| 211 |
+
"learning_rate": 4.267766952966369e-05,
|
| 212 |
+
"loss": 1.5753,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.63,
|
| 217 |
+
"learning_rate": 4.211367764821722e-05,
|
| 218 |
+
"loss": 1.6771,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.65,
|
| 223 |
+
"learning_rate": 4.1532796633091296e-05,
|
| 224 |
+
"loss": 1.5738,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.67,
|
| 229 |
+
"learning_rate": 4.093559974371725e-05,
|
| 230 |
+
"loss": 1.5405,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.68,
|
| 235 |
+
"learning_rate": 4.0322676341324415e-05,
|
| 236 |
+
"loss": 1.614,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.7,
|
| 241 |
+
"learning_rate": 3.969463130731183e-05,
|
| 242 |
+
"loss": 1.6264,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.72,
|
| 247 |
+
"learning_rate": 3.905208444630327e-05,
|
| 248 |
+
"loss": 1.5959,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.74,
|
| 253 |
+
"learning_rate": 3.8395669874474915e-05,
|
| 254 |
+
"loss": 1.5935,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.76,
|
| 259 |
+
"learning_rate": 3.7726035393759285e-05,
|
| 260 |
+
"loss": 1.502,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.77,
|
| 265 |
+
"learning_rate": 3.704384185254288e-05,
|
| 266 |
+
"loss": 1.6214,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.79,
|
| 271 |
+
"learning_rate": 3.634976249348867e-05,
|
| 272 |
+
"loss": 1.5852,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.81,
|
| 277 |
+
"learning_rate": 3.564448228912682e-05,
|
| 278 |
+
"loss": 1.7603,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.83,
|
| 283 |
+
"learning_rate": 3.4928697265869515e-05,
|
| 284 |
+
"loss": 1.4935,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.84,
|
| 289 |
+
"learning_rate": 3.4203113817116957e-05,
|
| 290 |
+
"loss": 1.5517,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.86,
|
| 295 |
+
"learning_rate": 3.346844800613229e-05,
|
| 296 |
+
"loss": 1.6087,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.88,
|
| 301 |
+
"learning_rate": 3.2725424859373694e-08,
|
| 302 |
+
"loss": 1.5613,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.9,
|
| 307 |
+
"learning_rate": 1.0679575735427564e-05,
|
| 308 |
+
"loss": 1.597,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.92,
|
| 313 |
+
"learning_rate": 2.0821903868473956e-05,
|
| 314 |
+
"loss": 1.5146,
|
| 315 |
+
"step": 51
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.93,
|
| 319 |
+
"learning_rate": 3.045358103491357e-05,
|
| 320 |
+
"loss": 1.5927,
|
| 321 |
+
"step": 52
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.95,
|
| 325 |
+
"learning_rate": 2.9684532864643122e-05,
|
| 326 |
+
"loss": 1.6061,
|
| 327 |
+
"step": 53
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.97,
|
| 331 |
+
"learning_rate": 2.8910861626005776e-05,
|
| 332 |
+
"loss": 1.5321,
|
| 333 |
+
"step": 54
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.99,
|
| 337 |
+
"learning_rate": 2.8133330839107608e-05,
|
| 338 |
+
"loss": 1.4788,
|
| 339 |
+
"step": 55
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.01,
|
| 343 |
+
"learning_rate": 2.7352707832962865e-05,
|
| 344 |
+
"loss": 1.499,
|
| 345 |
+
"step": 56
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.02,
|
| 349 |
+
"learning_rate": 2.656976298823284e-05,
|
| 350 |
+
"loss": 1.5762,
|
| 351 |
+
"step": 57
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 1.04,
|
| 355 |
+
"learning_rate": 2.578526897695321e-05,
|
| 356 |
+
"loss": 1.5178,
|
| 357 |
+
"step": 58
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 1.06,
|
| 361 |
+
"learning_rate": 2.5e-05,
|
| 362 |
+
"loss": 1.5249,
|
| 363 |
+
"step": 59
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 1.08,
|
| 367 |
+
"learning_rate": 2.4214731023046793e-05,
|
| 368 |
+
"loss": 1.5864,
|
| 369 |
+
"step": 60
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.1,
|
| 373 |
+
"learning_rate": 2.3430237011767167e-05,
|
| 374 |
+
"loss": 1.4421,
|
| 375 |
+
"step": 61
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.11,
|
| 379 |
+
"learning_rate": 2.2647292167037144e-05,
|
| 380 |
+
"loss": 1.6576,
|
| 381 |
+
"step": 62
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.13,
|
| 385 |
+
"learning_rate": 2.186666916089239e-05,
|
| 386 |
+
"loss": 1.5909,
|
| 387 |
+
"step": 63
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.15,
|
| 391 |
+
"learning_rate": 2.1089138373994223e-05,
|
| 392 |
+
"loss": 1.6872,
|
| 393 |
+
"step": 64
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 1.17,
|
| 397 |
+
"learning_rate": 2.031546713535688e-05,
|
| 398 |
+
"loss": 1.5855,
|
| 399 |
+
"step": 65
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 1.19,
|
| 403 |
+
"learning_rate": 1.9546418965086442e-05,
|
| 404 |
+
"loss": 1.4649,
|
| 405 |
+
"step": 66
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.2,
|
| 409 |
+
"learning_rate": 1.8782752820878634e-05,
|
| 410 |
+
"loss": 1.5359,
|
| 411 |
+
"step": 67
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.22,
|
| 415 |
+
"learning_rate": 1.802522234901927e-05,
|
| 416 |
+
"loss": 1.5669,
|
| 417 |
+
"step": 68
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 1.24,
|
| 421 |
+
"learning_rate": 1.7274575140626318e-05,
|
| 422 |
+
"loss": 1.5668,
|
| 423 |
+
"step": 69
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.26,
|
| 427 |
+
"learning_rate": 1.6531551993867717e-05,
|
| 428 |
+
"loss": 1.5836,
|
| 429 |
+
"step": 70
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.28,
|
| 433 |
+
"learning_rate": 1.5796886182883053e-05,
|
| 434 |
+
"loss": 1.6105,
|
| 435 |
+
"step": 71
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.29,
|
| 439 |
+
"learning_rate": 1.5071302734130489e-05,
|
| 440 |
+
"loss": 1.7016,
|
| 441 |
+
"step": 72
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.31,
|
| 445 |
+
"learning_rate": 1.4355517710873184e-05,
|
| 446 |
+
"loss": 1.5267,
|
| 447 |
+
"step": 73
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 1.33,
|
| 451 |
+
"learning_rate": 1.3650237506511332e-08,
|
| 452 |
+
"loss": 1.5548,
|
| 453 |
+
"step": 74
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 1.35,
|
| 457 |
+
"learning_rate": 4.327356821250675e-06,
|
| 458 |
+
"loss": 1.4613,
|
| 459 |
+
"step": 75
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 1.37,
|
| 463 |
+
"learning_rate": 8.186734392362558e-06,
|
| 464 |
+
"loss": 1.5514,
|
| 465 |
+
"step": 76
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.38,
|
| 469 |
+
"learning_rate": 1.1604330125525079e-05,
|
| 470 |
+
"loss": 1.66,
|
| 471 |
+
"step": 77
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.4,
|
| 475 |
+
"learning_rate": 1.0947915553696742e-05,
|
| 476 |
+
"loss": 1.4935,
|
| 477 |
+
"step": 78
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 1.42,
|
| 481 |
+
"learning_rate": 1.0305368692688174e-05,
|
| 482 |
+
"loss": 1.5749,
|
| 483 |
+
"step": 79
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 1.44,
|
| 487 |
+
"learning_rate": 9.677323658675594e-06,
|
| 488 |
+
"loss": 1.542,
|
| 489 |
+
"step": 80
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 1.46,
|
| 493 |
+
"learning_rate": 9.064400256282757e-06,
|
| 494 |
+
"loss": 1.5167,
|
| 495 |
+
"step": 81
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.47,
|
| 499 |
+
"learning_rate": 8.467203366908707e-06,
|
| 500 |
+
"loss": 1.5111,
|
| 501 |
+
"step": 82
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.49,
|
| 505 |
+
"learning_rate": 7.886322351782783e-06,
|
| 506 |
+
"loss": 1.4748,
|
| 507 |
+
"step": 83
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.51,
|
| 511 |
+
"learning_rate": 7.3223304703363135e-06,
|
| 512 |
+
"loss": 1.4896,
|
| 513 |
+
"step": 84
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.53,
|
| 517 |
+
"learning_rate": 6.775784314464717e-06,
|
| 518 |
+
"loss": 1.5126,
|
| 519 |
+
"step": 85
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 1.55,
|
| 523 |
+
"learning_rate": 6.247223259238511e-06,
|
| 524 |
+
"loss": 1.5683,
|
| 525 |
+
"step": 86
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.56,
|
| 529 |
+
"learning_rate": 5.737168930605272e-06,
|
| 530 |
+
"loss": 1.5396,
|
| 531 |
+
"step": 87
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.58,
|
| 535 |
+
"learning_rate": 5.24612469060774e-06,
|
| 536 |
+
"loss": 1.6448,
|
| 537 |
+
"step": 88
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 1.6,
|
| 541 |
+
"learning_rate": 4.7745751406263165e-06,
|
| 542 |
+
"loss": 1.4972,
|
| 543 |
+
"step": 89
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 1.62,
|
| 547 |
+
"learning_rate": 4.322985643135952e-06,
|
| 548 |
+
"loss": 1.4927,
|
| 549 |
+
"step": 90
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.64,
|
| 553 |
+
"learning_rate": 3.891801862449629e-06,
|
| 554 |
+
"loss": 1.4583,
|
| 555 |
+
"step": 91
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.65,
|
| 559 |
+
"learning_rate": 3.4814493249014116e-06,
|
| 560 |
+
"loss": 1.5465,
|
| 561 |
+
"step": 92
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.67,
|
| 565 |
+
"learning_rate": 3.092332998903416e-06,
|
| 566 |
+
"loss": 1.5064,
|
| 567 |
+
"step": 93
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 1.69,
|
| 571 |
+
"learning_rate": 2.7248368952908053e-06,
|
| 572 |
+
"loss": 1.6129,
|
| 573 |
+
"step": 94
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 1.71,
|
| 577 |
+
"learning_rate": 2.379323688349516e-06,
|
| 578 |
+
"loss": 1.4308,
|
| 579 |
+
"step": 95
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 1.73,
|
| 583 |
+
"learning_rate": 2.0561343579004715e-06,
|
| 584 |
+
"loss": 1.6895,
|
| 585 |
+
"step": 96
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.74,
|
| 589 |
+
"learning_rate": 1.7555878527937164e-06,
|
| 590 |
+
"loss": 1.5775,
|
| 591 |
+
"step": 97
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.76,
|
| 595 |
+
"learning_rate": 1.4779807761443636e-06,
|
| 596 |
+
"loss": 1.5522,
|
| 597 |
+
"step": 98
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 1.78,
|
| 601 |
+
"learning_rate": 1.2235870926211618e-09,
|
| 602 |
+
"loss": 1.6585,
|
| 603 |
+
"step": 99
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 1.8,
|
| 607 |
+
"learning_rate": 3.315477245975254e-07,
|
| 608 |
+
"loss": 1.5225,
|
| 609 |
+
"step": 100
|
| 610 |
+
}
|
| 611 |
+
],
|
| 612 |
+
"logging_steps": 1,
|
| 613 |
+
"max_steps": 110,
|
| 614 |
+
"num_train_epochs": 2,
|
| 615 |
+
"save_steps": 25,
|
| 616 |
+
"total_flos": 3.5520358334398464e+17,
|
| 617 |
+
"trial_name": null,
|
| 618 |
+
"trial_params": null
|
| 619 |
+
}
|
checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ac1807a3dad2a889f8270df29e23d2a109745612aa45d4ed5932877dca4b399
|
| 3 |
+
size 4411
|
checkpoint-25/relora/Untitled.ipynb
CHANGED
|
@@ -328,10 +328,138 @@
|
|
| 328 |
"name": "stdout",
|
| 329 |
"output_type": "stream",
|
| 330 |
"text": [
|
|
|
|
|
|
|
| 331 |
"Uploading...\n",
|
| 332 |
"Uploading...\n",
|
| 333 |
"Uploading...\n"
|
| 334 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 335 |
}
|
| 336 |
],
|
| 337 |
"source": [
|
|
|
|
| 328 |
"name": "stdout",
|
| 329 |
"output_type": "stream",
|
| 330 |
"text": [
|
| 331 |
+
"Uploading...\n",
|
| 332 |
+
"Uploading...\n",
|
| 333 |
"Uploading...\n",
|
| 334 |
"Uploading...\n",
|
| 335 |
"Uploading...\n"
|
| 336 |
]
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"data": {
|
| 340 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 341 |
+
"model_id": "2e30ee1659c44b2f82428378656de05d",
|
| 342 |
+
"version_major": 2,
|
| 343 |
+
"version_minor": 0
|
| 344 |
+
},
|
| 345 |
+
"text/plain": [
|
| 346 |
+
"Upload 8 LFS files: 0%| | 0/8 [00:00<?, ?it/s]"
|
| 347 |
+
]
|
| 348 |
+
},
|
| 349 |
+
"metadata": {},
|
| 350 |
+
"output_type": "display_data"
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"data": {
|
| 354 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 355 |
+
"model_id": "43ba42d4a29940e4b5be841236f2c2cb",
|
| 356 |
+
"version_major": 2,
|
| 357 |
+
"version_minor": 0
|
| 358 |
+
},
|
| 359 |
+
"text/plain": [
|
| 360 |
+
"model-00001-of-00003.safetensors: 0%| | 0.00/9.95G [00:00<?, ?B/s]"
|
| 361 |
+
]
|
| 362 |
+
},
|
| 363 |
+
"metadata": {},
|
| 364 |
+
"output_type": "display_data"
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"data": {
|
| 368 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 369 |
+
"model_id": "41b300129d6f450bb72a2b9927fc9a15",
|
| 370 |
+
"version_major": 2,
|
| 371 |
+
"version_minor": 0
|
| 372 |
+
},
|
| 373 |
+
"text/plain": [
|
| 374 |
+
"adapter_model.bin: 0%| | 0.00/125M [00:00<?, ?B/s]"
|
| 375 |
+
]
|
| 376 |
+
},
|
| 377 |
+
"metadata": {},
|
| 378 |
+
"output_type": "display_data"
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"data": {
|
| 382 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 383 |
+
"model_id": "b94df3bbe51e4b59bf9d3be2d4366684",
|
| 384 |
+
"version_major": 2,
|
| 385 |
+
"version_minor": 0
|
| 386 |
+
},
|
| 387 |
+
"text/plain": [
|
| 388 |
+
"optimizer.pt: 0%| | 0.00/63.3M [00:00<?, ?B/s]"
|
| 389 |
+
]
|
| 390 |
+
},
|
| 391 |
+
"metadata": {},
|
| 392 |
+
"output_type": "display_data"
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"data": {
|
| 396 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 397 |
+
"model_id": "97e041ea445048c2a85fbfb28fdb574d",
|
| 398 |
+
"version_major": 2,
|
| 399 |
+
"version_minor": 0
|
| 400 |
+
},
|
| 401 |
+
"text/plain": [
|
| 402 |
+
"adapter_model.bin: 0%| | 0.00/125M [00:00<?, ?B/s]"
|
| 403 |
+
]
|
| 404 |
+
},
|
| 405 |
+
"metadata": {},
|
| 406 |
+
"output_type": "display_data"
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"data": {
|
| 410 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 411 |
+
"model_id": "d08d4e6ce0b248c3847e28956f103d6a",
|
| 412 |
+
"version_major": 2,
|
| 413 |
+
"version_minor": 0
|
| 414 |
+
},
|
| 415 |
+
"text/plain": [
|
| 416 |
+
"model-00002-of-00003.safetensors: 0%| | 0.00/9.90G [00:00<?, ?B/s]"
|
| 417 |
+
]
|
| 418 |
+
},
|
| 419 |
+
"metadata": {},
|
| 420 |
+
"output_type": "display_data"
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"data": {
|
| 424 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 425 |
+
"model_id": "33b7071af5a342d5ac0de0c2fe144638",
|
| 426 |
+
"version_major": 2,
|
| 427 |
+
"version_minor": 0
|
| 428 |
+
},
|
| 429 |
+
"text/plain": [
|
| 430 |
+
"model-00003-of-00003.safetensors: 0%| | 0.00/6.18G [00:00<?, ?B/s]"
|
| 431 |
+
]
|
| 432 |
+
},
|
| 433 |
+
"metadata": {},
|
| 434 |
+
"output_type": "display_data"
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"data": {
|
| 438 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 439 |
+
"model_id": "e035e554531444ab827d474c85878d55",
|
| 440 |
+
"version_major": 2,
|
| 441 |
+
"version_minor": 0
|
| 442 |
+
},
|
| 443 |
+
"text/plain": [
|
| 444 |
+
"rng_state.pth: 0%| | 0.00/14.6k [00:00<?, ?B/s]"
|
| 445 |
+
]
|
| 446 |
+
},
|
| 447 |
+
"metadata": {},
|
| 448 |
+
"output_type": "display_data"
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"data": {
|
| 452 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 453 |
+
"model_id": "c540f9cc5b694e0aad0cc29bc0053593",
|
| 454 |
+
"version_major": 2,
|
| 455 |
+
"version_minor": 0
|
| 456 |
+
},
|
| 457 |
+
"text/plain": [
|
| 458 |
+
"scheduler.pt: 0%| | 0.00/189M [00:00<?, ?B/s]"
|
| 459 |
+
]
|
| 460 |
+
},
|
| 461 |
+
"metadata": {},
|
| 462 |
+
"output_type": "display_data"
|
| 463 |
}
|
| 464 |
],
|
| 465 |
"source": [
|