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--- |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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model-index: |
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- name: dpo-llama-chat-without-none |
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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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# dpo-llama-chat-without-none |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9481 |
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- Rewards/chosen: 4.6795 |
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- Rewards/rejected: 2.8189 |
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- Rewards/accuracies: 0.8547 |
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- Rewards/margins: 1.8606 |
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- Logps/rejected: -60.8495 |
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- Logps/chosen: -50.0326 |
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- Logits/rejected: -0.2216 |
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- Logits/chosen: -0.2323 |
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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: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 1000 |
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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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| 6.3 | 0.24 | 100 | 6.1290 | 3.4767 | 3.2110 | 0.5920 | 0.2657 | -56.9286 | -62.0606 | -0.2723 | -0.2654 | |
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| 5.5843 | 0.48 | 200 | 5.8936 | 3.6904 | 3.2305 | 0.6520 | 0.4599 | -56.7330 | -59.9230 | 0.2517 | 0.2475 | |
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| 5.757 | 0.72 | 300 | 5.6694 | 3.9164 | 3.1893 | 0.7253 | 0.7271 | -57.1450 | -57.6631 | 0.3505 | 0.3418 | |
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| 5.5385 | 0.96 | 400 | 5.4629 | 4.1466 | 3.1351 | 0.7600 | 1.0115 | -57.6871 | -55.3611 | 0.2059 | 0.1970 | |
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| 5.2301 | 1.2 | 500 | 5.2891 | 4.3324 | 3.0305 | 0.7880 | 1.3020 | -58.7338 | -53.5027 | 0.1063 | 0.0968 | |
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| 5.0115 | 1.44 | 600 | 5.1601 | 4.4582 | 2.9458 | 0.8213 | 1.5124 | -59.5800 | -52.2452 | -0.1082 | -0.1154 | |
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| 4.9893 | 1.68 | 700 | 5.0431 | 4.5787 | 2.9142 | 0.8413 | 1.6645 | -59.8968 | -51.0404 | -0.1716 | -0.1829 | |
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| 5.0292 | 1.92 | 800 | 4.9770 | 4.6501 | 2.8827 | 0.8427 | 1.7673 | -60.2111 | -50.3266 | -0.1929 | -0.2042 | |
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| 4.331 | 2.16 | 900 | 4.9577 | 4.6724 | 2.8191 | 0.8480 | 1.8534 | -60.8478 | -50.1027 | -0.2005 | -0.2121 | |
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| 4.5481 | 2.4 | 1000 | 4.9481 | 4.6795 | 2.8189 | 0.8547 | 1.8606 | -60.8495 | -50.0326 | -0.2216 | -0.2323 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
