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--- |
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license: llama2 |
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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: model_hh_shp4_200 |
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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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# model_hh_shp4_200 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4445 |
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- Rewards/chosen: -0.1401 |
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- Rewards/rejected: -1.3796 |
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- Rewards/accuracies: 0.6300 |
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- Rewards/margins: 1.2395 |
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- Logps/rejected: -230.1749 |
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- Logps/chosen: -224.4940 |
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- Logits/rejected: -0.7701 |
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- Logits/chosen: -0.7769 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 100 |
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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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| 0.0 | 8.0 | 100 | 1.4330 | -0.1080 | -1.3964 | 0.6200 | 1.2883 | -230.1935 | -224.4584 | -0.7684 | -0.7753 | |
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| 0.0 | 16.0 | 200 | 1.4371 | -0.0911 | -1.3887 | 0.6400 | 1.2976 | -230.1849 | -224.4396 | -0.7692 | -0.7762 | |
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| 0.0 | 24.0 | 300 | 1.4477 | -0.1125 | -1.3921 | 0.6200 | 1.2795 | -230.1887 | -224.4634 | -0.7693 | -0.7763 | |
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| 0.0 | 32.0 | 400 | 1.4521 | -0.1143 | -1.4167 | 0.6200 | 1.3024 | -230.2161 | -224.4653 | -0.7696 | -0.7763 | |
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| 0.0 | 40.0 | 500 | 1.4631 | -0.1153 | -1.3806 | 0.6200 | 1.2653 | -230.1759 | -224.4665 | -0.7701 | -0.7771 | |
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| 0.0 | 48.0 | 600 | 1.4455 | -0.1180 | -1.3970 | 0.6300 | 1.2791 | -230.1942 | -224.4695 | -0.7698 | -0.7769 | |
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| 0.0 | 56.0 | 700 | 1.4292 | -0.0800 | -1.3720 | 0.6100 | 1.2920 | -230.1664 | -224.4273 | -0.7704 | -0.7775 | |
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| 0.0 | 64.0 | 800 | 1.4434 | -0.0943 | -1.3739 | 0.6200 | 1.2796 | -230.1686 | -224.4432 | -0.7703 | -0.7773 | |
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| 0.0 | 72.0 | 900 | 1.4493 | -0.1016 | -1.4044 | 0.6100 | 1.3028 | -230.2024 | -224.4513 | -0.7704 | -0.7773 | |
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| 0.0 | 80.0 | 1000 | 1.4445 | -0.1401 | -1.3796 | 0.6300 | 1.2395 | -230.1749 | -224.4940 | -0.7701 | -0.7769 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
