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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 |
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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 |
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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: 0.1928 |
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- Rewards/chosen: -1.3672 |
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- Rewards/rejected: -4.3992 |
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- Rewards/accuracies: 0.9310 |
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- Rewards/margins: 3.0321 |
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- Logps/rejected: -133.6114 |
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- Logps/chosen: -90.8071 |
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- Logits/rejected: -0.8584 |
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- Logits/chosen: -0.8277 |
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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: 16 |
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- total_train_batch_size: 64 |
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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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| 0.5985 | 0.24 | 100 | 0.5908 | -0.0098 | -0.3706 | 0.6857 | 0.3608 | -93.3248 | -77.2335 | -0.7818 | -0.8133 | |
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| 0.5032 | 0.47 | 200 | 0.4768 | -0.1589 | -0.9349 | 0.8037 | 0.7760 | -98.9677 | -78.7246 | -0.8669 | -0.8774 | |
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| 0.4105 | 0.71 | 300 | 0.4056 | -0.3303 | -1.5893 | 0.8316 | 1.2589 | -105.5115 | -80.4384 | -0.8423 | -0.8361 | |
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| 0.3707 | 0.94 | 400 | 0.3501 | -0.2376 | -1.6094 | 0.8760 | 1.3718 | -105.7129 | -79.5110 | -0.7540 | -0.7564 | |
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| 0.2363 | 1.18 | 500 | 0.2939 | -0.8615 | -2.9614 | 0.8932 | 2.0999 | -119.2329 | -85.7499 | -0.8983 | -0.8797 | |
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| 0.1947 | 1.42 | 600 | 0.2463 | -1.0709 | -3.5879 | 0.9085 | 2.5170 | -125.4976 | -87.8440 | -0.8982 | -0.8717 | |
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| 0.1823 | 1.65 | 700 | 0.2242 | -1.2056 | -3.7965 | 0.9158 | 2.5909 | -127.5844 | -89.1917 | -0.8272 | -0.8112 | |
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| 0.1476 | 1.89 | 800 | 0.2042 | -1.1764 | -3.9644 | 0.9271 | 2.7881 | -129.2632 | -88.8989 | -0.8622 | -0.8415 | |
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| 0.112 | 2.13 | 900 | 0.1936 | -1.3373 | -4.3265 | 0.9330 | 2.9891 | -132.8835 | -90.5088 | -0.8608 | -0.8338 | |
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| 0.0949 | 2.36 | 1000 | 0.1928 | -1.3672 | -4.3992 | 0.9310 | 3.0321 | -133.6114 | -90.8071 | -0.8584 | -0.8277 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
