ryanmarten commited on
Commit
27ae82d
·
verified ·
1 Parent(s): 656d112

Model save

Browse files
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - llama-factory
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: s1k-11-test-192
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # s1k-11-test-192
15
+
16
+ This model was trained from scratch on an unknown dataset.
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 2e-05
36
+ - train_batch_size: 1
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - distributed_type: multi-GPU
40
+ - num_devices: 4
41
+ - gradient_accumulation_steps: 24
42
+ - total_train_batch_size: 96
43
+ - total_eval_batch_size: 32
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - num_epochs: 1.0
48
+
49
+ ### Training results
50
+
51
+
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.46.1
56
+ - Pytorch 2.6.0+cu124
57
+ - Datasets 3.1.0
58
+ - Tokenizers 0.20.3
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": "4.46.1"
14
+ }
wandb/run-20250412_234030-6n803w1v/files/output.log CHANGED
@@ -38,3 +38,17 @@ Training completed. Do not forget to share your model on huggingface.co/models =
38
  100%|██████████| 2/2 [06:35<00:00, 197.55s/it]
39
  {'train_runtime': 396.7392, 'train_samples_per_second': 0.484, 'train_steps_per_second': 0.005, 'train_loss': 1.2243931889533997, 'epoch': 1.0}
40
  [INFO|trainer.py:4582] 2025-04-12 23:47:06,174 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  100%|██████████| 2/2 [06:35<00:00, 197.55s/it]
39
  {'train_runtime': 396.7392, 'train_samples_per_second': 0.484, 'train_steps_per_second': 0.005, 'train_loss': 1.2243931889533997, 'epoch': 1.0}
40
  [INFO|trainer.py:4582] 2025-04-12 23:47:06,174 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.
41
+ [INFO|trainer.py:3801] 2025-04-12 23:53:29,854 >> Saving model checkpoint to /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192
42
+ [INFO|configuration_utils.py:414] 2025-04-12 23:53:29,859 >> Configuration saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/config.json
43
+ [INFO|configuration_utils.py:865] 2025-04-12 23:53:29,861 >> Configuration saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/generation_config.json
44
+ [INFO|modeling_utils.py:3043] 2025-04-12 23:53:44,718 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 4 checkpoint shards. You can find where each parameters has been saved in the index located at /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/model.safetensors.index.json.
45
+ [INFO|tokenization_utils_base.py:2646] 2025-04-12 23:53:44,721 >> tokenizer config file saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/tokenizer_config.json
46
+ [INFO|tokenization_utils_base.py:2655] 2025-04-12 23:53:44,722 >> Special tokens file saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/special_tokens_map.json
47
+ [INFO|trainer.py:3801] 2025-04-12 23:53:47,051 >> Saving model checkpoint to /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192
48
+ [INFO|configuration_utils.py:414] 2025-04-12 23:53:47,056 >> Configuration saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/config.json
49
+ [INFO|configuration_utils.py:865] 2025-04-12 23:53:47,057 >> Configuration saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/generation_config.json
50
+ [INFO|modeling_utils.py:3043] 2025-04-12 23:54:02,164 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 4 checkpoint shards. You can find where each parameters has been saved in the index located at /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/model.safetensors.index.json.
51
+ [INFO|tokenization_utils_base.py:2646] 2025-04-12 23:54:02,166 >> tokenizer config file saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/tokenizer_config.json
52
+ [INFO|tokenization_utils_base.py:2655] 2025-04-12 23:54:02,167 >> Special tokens file saved in /data/horse/ws/ryma833h-DCFT_Shared/checkpoints/s1k-11-test-192/special_tokens_map.json
53
+ [INFO|modelcard.py:449] 2025-04-12 23:54:02,290 >> Dropping the following result as it does not have all the necessary fields:
54
+ {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}