Model save
Browse files- README.md +4 -23
- all_results.json +6 -5
- config.json +2 -1
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- tokenizer.json +1 -0
- tokenizer_config.json +2 -1
- train_results.json +6 -5
- trainer_state.json +108 -1360
- training_args.bin +2 -2
README.md
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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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# zephyr-7b-dpo-full
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0465
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- Rewards/chosen: -2.6400
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- Rewards/rejected: -3.4900
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- Rewards/accuracies: 0.7227
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- Rewards/margins: 0.8499
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- Logps/rejected: -606.3505
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- Logps/chosen: -521.0439
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- Logits/rejected: -1.9091
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- Logits/chosen: -1.9501
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## Model description
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed:
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.1485 | 0.11 | 100 | 0.1803 | -0.5621 | -0.7737 | 0.6406 | 0.2117 | -334.7263 | -313.2471 | -2.4998 | -2.5133 |
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| 0.0592 | 0.23 | 200 | 0.0662 | -1.7402 | -2.3280 | 0.6797 | 0.5878 | -490.1518 | -431.0574 | -2.2396 | -2.2729 |
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| 0.0394 | 0.34 | 300 | 0.0494 | -2.3707 | -2.9767 | 0.6953 | 0.6061 | -555.0248 | -494.1047 | -2.1101 | -2.1389 |
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| 0.0401 | 0.45 | 400 | 0.0523 | -2.4275 | -3.1076 | 0.7031 | 0.6801 | -568.1116 | -499.7916 | -2.0429 | -2.0799 |
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| 0.0335 | 0.57 | 500 | 0.0461 | -2.4063 | -3.2276 | 0.7148 | 0.8213 | -580.1129 | -497.6727 | -2.0057 | -2.0456 |
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| 0.0273 | 0.68 | 600 | 0.0409 | -2.8465 | -3.7152 | 0.7070 | 0.8687 | -628.8741 | -541.6862 | -1.9162 | -1.9558 |
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| 0.0377 | 0.79 | 700 | 0.0496 | -2.5317 | -3.3682 | 0.7227 | 0.8365 | -594.1712 | -510.2102 | -1.9274 | -1.9673 |
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| 0.0352 | 0.91 | 800 | 0.0465 | -2.6400 | -3.4900 | 0.7227 | 0.8499 | -606.3505 | -521.0439 | -1.9091 | -1.9501 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanqiang/wdpo/runs/endz0vlb)
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# zephyr-7b-dpo-full
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
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## Model description
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 2
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### Training results
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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all_results.json
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{
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.35314782722940985,
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"train_runtime": 383.8735,
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"train_samples": 6750,
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"train_samples_per_second": 17.584,
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"train_steps_per_second": 0.138
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}
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config.json
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.
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"use_cache": false,
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"vocab_size": 32000
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}
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"architectures": [
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"MistralForCausalLM"
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"vocab_size": 32000
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generation_config.json
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"_from_model_config": true,
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model-00001-of-00003.safetensors
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tokenizer.json
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tokenizer_config.json
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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train_results.json
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trainer_state.json
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|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 1.0,
|
| 121 |
+
"step": 53,
|
| 122 |
"total_flos": 0.0,
|
| 123 |
+
"train_loss": 0.35314782722940985,
|
| 124 |
+
"train_runtime": 383.8735,
|
| 125 |
+
"train_samples_per_second": 17.584,
|
| 126 |
+
"train_steps_per_second": 0.138
|
| 127 |
}
|
| 128 |
],
|
| 129 |
"logging_steps": 10,
|
| 130 |
+
"max_steps": 53,
|
| 131 |
+
"num_input_tokens_seen": 0,
|
| 132 |
"num_train_epochs": 1,
|
| 133 |
"save_steps": 100,
|
| 134 |
+
"stateful_callbacks": {
|
| 135 |
+
"TrainerControl": {
|
| 136 |
+
"args": {
|
| 137 |
+
"should_epoch_stop": false,
|
| 138 |
+
"should_evaluate": false,
|
| 139 |
+
"should_log": false,
|
| 140 |
+
"should_save": false,
|
| 141 |
+
"should_training_stop": false
|
| 142 |
+
},
|
| 143 |
+
"attributes": {}
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
"total_flos": 0.0,
|
| 147 |
+
"train_batch_size": 8,
|
| 148 |
"trial_name": null,
|
| 149 |
"trial_params": null
|
| 150 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66256c43c12f27a54794f96351760e44e700610c217328bdc402198e071970b6
|
| 3 |
+
size 6456
|