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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-hf |
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model-index: |
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- name: Llama-2-7b-hf-DPO-PartialEval_ET0.1_MT1.2_V.1.0 |
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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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# Llama-2-7b-hf-DPO-PartialEval_ET0.1_MT1.2_V.1.0 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7063 |
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- Rewards/chosen: -1.8087 |
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- Rewards/rejected: -2.4327 |
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- Rewards/accuracies: 0.7000 |
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- Rewards/margins: 0.6240 |
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- Logps/rejected: -101.7455 |
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- Logps/chosen: -109.7301 |
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- Logits/rejected: -1.0472 |
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- Logits/chosen: -1.0455 |
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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: 5e-05 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_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: 10 |
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- num_epochs: 3 |
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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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| 0.6461 | 0.3009 | 68 | 0.6839 | 0.0330 | 0.0082 | 0.6000 | 0.0248 | -77.3366 | -91.3130 | -0.2945 | -0.2863 | |
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| 0.9723 | 0.6018 | 136 | 0.6779 | 0.0339 | -0.0486 | 0.7000 | 0.0824 | -77.9042 | -91.3046 | -0.3345 | -0.3256 | |
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| 0.6461 | 0.9027 | 204 | 0.6352 | -0.0081 | -0.2128 | 0.8000 | 0.2047 | -79.5466 | -91.7240 | -0.3939 | -0.3854 | |
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| 0.2832 | 1.2035 | 272 | 0.5825 | -0.8764 | -1.2440 | 0.7000 | 0.3676 | -89.8586 | -100.4076 | -0.6262 | -0.6198 | |
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| 0.1923 | 1.5044 | 340 | 0.5559 | -1.1573 | -1.6161 | 0.7000 | 0.4587 | -93.5792 | -103.2166 | -0.6844 | -0.6797 | |
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| 0.3898 | 1.8053 | 408 | 0.6173 | -1.3556 | -1.8473 | 0.7000 | 0.4918 | -95.8919 | -105.1990 | -0.8939 | -0.8905 | |
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| 0.3404 | 2.1062 | 476 | 0.6381 | -1.3063 | -1.8875 | 0.7000 | 0.5812 | -96.2932 | -104.7061 | -0.9068 | -0.9042 | |
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| 0.4954 | 2.4071 | 544 | 0.6915 | -1.7445 | -2.3721 | 0.7000 | 0.6276 | -101.1399 | -109.0883 | -1.0304 | -1.0288 | |
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| 0.3914 | 2.7080 | 612 | 0.7063 | -1.8087 | -2.4327 | 0.7000 | 0.6240 | -101.7455 | -109.7301 | -1.0472 | -1.0455 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
