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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_usp1_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_usp1_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: 1.4318 |
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- Rewards/chosen: 1.1781 |
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- Rewards/rejected: -0.7550 |
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- Rewards/accuracies: 0.6400 |
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- Rewards/margins: 1.9331 |
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- Logps/rejected: -116.8458 |
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- Logps/chosen: -108.3717 |
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- Logits/rejected: -0.0587 |
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- Logits/chosen: -0.0585 |
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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 | 1.3976 | 1.5497 | -0.4049 | 0.6200 | 1.9546 | -116.4568 | -107.9588 | -0.0493 | -0.0483 | |
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| 0.0 | 16.0 | 200 | 1.4110 | 1.4142 | -0.5150 | 0.6500 | 1.9292 | -116.5792 | -108.1093 | -0.0538 | -0.0530 | |
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| 0.0 | 24.0 | 300 | 1.4038 | 1.3748 | -0.6170 | 0.6400 | 1.9918 | -116.6925 | -108.1531 | -0.0554 | -0.0545 | |
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| 0.0 | 32.0 | 400 | 1.4365 | 1.2965 | -0.6346 | 0.6600 | 1.9311 | -116.7121 | -108.2401 | -0.0555 | -0.0551 | |
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| 0.0 | 40.0 | 500 | 1.4139 | 1.2582 | -0.6992 | 0.6400 | 1.9574 | -116.7839 | -108.2827 | -0.0582 | -0.0580 | |
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| 0.0 | 48.0 | 600 | 1.4155 | 1.2234 | -0.7385 | 0.6400 | 1.9619 | -116.8275 | -108.3214 | -0.0572 | -0.0570 | |
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| 0.0 | 56.0 | 700 | 1.4050 | 1.2174 | -0.7564 | 0.6600 | 1.9738 | -116.8474 | -108.3280 | -0.0586 | -0.0582 | |
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| 0.0 | 64.0 | 800 | 1.4250 | 1.1984 | -0.7478 | 0.6500 | 1.9462 | -116.8379 | -108.3491 | -0.0589 | -0.0586 | |
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| 0.0 | 72.0 | 900 | 1.4309 | 1.1891 | -0.7289 | 0.6400 | 1.9180 | -116.8168 | -108.3594 | -0.0588 | -0.0585 | |
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| 0.0 | 80.0 | 1000 | 1.4318 | 1.1781 | -0.7550 | 0.6400 | 1.9331 | -116.8458 | -108.3717 | -0.0587 | -0.0585 | |
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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 |
