Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +183 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
- vocab.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: orpo_trained_1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# orpo_trained_1
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the lightblue_orpo_data dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- total_eval_batch_size: 8
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.4.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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added_tokens.json
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all_results.json
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
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"architectures": [
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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}
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generation_config.json
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00004.safetensors
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165 |
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166 |
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174 |
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181 |
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182 |
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183 |
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184 |
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186 |
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187 |
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188 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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|
199 |
+
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|
200 |
+
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|
201 |
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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|
206 |
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|
207 |
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|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
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|
|
|
1 |
+
{
|
2 |
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"epoch": 0.9982859101816935,
|
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|
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|
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|
7 |
+
"train_steps_per_second": 0.013
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,183 @@
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|
1 |
+
{"current_steps": 1, "total_steps": 182, "loss": 0.8549, "accuracy": 0.328125, "lr": 2.6315789473684213e-07, "epoch": 0.005485087418580734, "percentage": 0.55, "elapsed_time": "0:01:19", "remaining_time": "4:00:15"}
|
2 |
+
{"current_steps": 2, "total_steps": 182, "loss": 0.8261, "accuracy": 0.3671875, "lr": 5.263157894736843e-07, "epoch": 0.010970174837161468, "percentage": 1.1, "elapsed_time": "0:02:33", "remaining_time": "3:49:54"}
|
3 |
+
{"current_steps": 3, "total_steps": 182, "loss": 0.8057, "accuracy": 0.375, "lr": 7.894736842105263e-07, "epoch": 0.0164552622557422, "percentage": 1.65, "elapsed_time": "0:03:52", "remaining_time": "3:51:20"}
|
4 |
+
{"current_steps": 4, "total_steps": 182, "loss": 0.8331, "accuracy": 0.4140625, "lr": 1.0526315789473685e-06, "epoch": 0.021940349674322936, "percentage": 2.2, "elapsed_time": "0:05:08", "remaining_time": "3:48:46"}
|
5 |
+
{"current_steps": 5, "total_steps": 182, "loss": 0.7994, "accuracy": 0.3359375, "lr": 1.3157894736842106e-06, "epoch": 0.027425437092903668, "percentage": 2.75, "elapsed_time": "0:06:25", "remaining_time": "3:47:38"}
|
6 |
+
{"current_steps": 6, "total_steps": 182, "loss": 0.8315, "accuracy": 0.375, "lr": 1.5789473684210526e-06, "epoch": 0.0329105245114844, "percentage": 3.3, "elapsed_time": "0:07:40", "remaining_time": "3:45:15"}
|
7 |
+
{"current_steps": 7, "total_steps": 182, "loss": 0.7601, "accuracy": 0.4140625, "lr": 1.8421052631578948e-06, "epoch": 0.03839561193006513, "percentage": 3.85, "elapsed_time": "0:08:56", "remaining_time": "3:43:22"}
|
8 |
+
{"current_steps": 8, "total_steps": 182, "loss": 0.8077, "accuracy": 0.390625, "lr": 2.105263157894737e-06, "epoch": 0.04388069934864587, "percentage": 4.4, "elapsed_time": "0:10:14", "remaining_time": "3:42:47"}
|
9 |
+
{"current_steps": 9, "total_steps": 182, "loss": 0.8995, "accuracy": 0.265625, "lr": 2.368421052631579e-06, "epoch": 0.049365786767226603, "percentage": 4.95, "elapsed_time": "0:11:32", "remaining_time": "3:41:51"}
|
10 |
+
{"current_steps": 10, "total_steps": 182, "loss": 0.914, "accuracy": 0.296875, "lr": 2.631578947368421e-06, "epoch": 0.054850874185807336, "percentage": 5.49, "elapsed_time": "0:12:48", "remaining_time": "3:40:09"}
|
11 |
+
{"current_steps": 11, "total_steps": 182, "loss": 0.8437, "accuracy": 0.3359375, "lr": 2.8947368421052634e-06, "epoch": 0.06033596160438807, "percentage": 6.04, "elapsed_time": "0:14:03", "remaining_time": "3:38:33"}
|
12 |
+
{"current_steps": 12, "total_steps": 182, "loss": 0.8365, "accuracy": 0.296875, "lr": 3.157894736842105e-06, "epoch": 0.0658210490229688, "percentage": 6.59, "elapsed_time": "0:15:18", "remaining_time": "3:36:55"}
|
13 |
+
{"current_steps": 13, "total_steps": 182, "loss": 0.7842, "accuracy": 0.3359375, "lr": 3.421052631578948e-06, "epoch": 0.07130613644154954, "percentage": 7.14, "elapsed_time": "0:16:34", "remaining_time": "3:35:22"}
|
14 |
+
{"current_steps": 14, "total_steps": 182, "loss": 0.8682, "accuracy": 0.328125, "lr": 3.6842105263157896e-06, "epoch": 0.07679122386013026, "percentage": 7.69, "elapsed_time": "0:17:52", "remaining_time": "3:34:27"}
|
15 |
+
{"current_steps": 15, "total_steps": 182, "loss": 0.8093, "accuracy": 0.328125, "lr": 3.947368421052632e-06, "epoch": 0.082276311278711, "percentage": 8.24, "elapsed_time": "0:19:05", "remaining_time": "3:32:35"}
|
16 |
+
{"current_steps": 16, "total_steps": 182, "loss": 0.8093, "accuracy": 0.359375, "lr": 4.210526315789474e-06, "epoch": 0.08776139869729174, "percentage": 8.79, "elapsed_time": "0:20:23", "remaining_time": "3:31:32"}
|
17 |
+
{"current_steps": 17, "total_steps": 182, "loss": 0.8353, "accuracy": 0.2734375, "lr": 4.473684210526316e-06, "epoch": 0.09324648611587247, "percentage": 9.34, "elapsed_time": "0:21:40", "remaining_time": "3:30:17"}
|
18 |
+
{"current_steps": 18, "total_steps": 182, "loss": 0.8013, "accuracy": 0.4140625, "lr": 4.736842105263158e-06, "epoch": 0.09873157353445321, "percentage": 9.89, "elapsed_time": "0:22:54", "remaining_time": "3:28:46"}
|
19 |
+
{"current_steps": 19, "total_steps": 182, "loss": 0.7634, "accuracy": 0.3359375, "lr": 5e-06, "epoch": 0.10421666095303393, "percentage": 10.44, "elapsed_time": "0:24:05", "remaining_time": "3:26:38"}
|
20 |
+
{"current_steps": 20, "total_steps": 182, "loss": 0.7906, "accuracy": 0.359375, "lr": 4.999535676028338e-06, "epoch": 0.10970174837161467, "percentage": 10.99, "elapsed_time": "0:25:20", "remaining_time": "3:25:15"}
|
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trainer_state.json
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training_args.bin
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training_loss.png
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training_rewards_accuracies.png
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vocab.json
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