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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: sigmoid_lr2e-05_b0.1 |
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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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# sigmoid_lr2e-05_b0.1 |
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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: 0.1587 |
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- Rewards/chosen: 1.0566 |
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- Rewards/rejected: -3.7222 |
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- Rewards/accuracies: 0.9348 |
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- Rewards/margins: 4.7788 |
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- Logps/rejected: -100.3634 |
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- Logps/chosen: -68.2028 |
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- Logits/rejected: -1.2118 |
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- Logits/chosen: -1.1884 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.1582 | 0.1 | 341 | 0.3412 | 1.4613 | -0.6760 | 0.8442 | 2.1373 | -69.9019 | -64.1564 | -0.9916 | -0.9274 | |
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| 0.2165 | 0.2 | 682 | 0.2655 | 1.8031 | -1.3141 | 0.8714 | 3.1172 | -76.2827 | -60.7382 | -1.0115 | -0.9525 | |
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| 0.0864 | 0.3 | 1023 | 0.2379 | 0.6173 | -3.1475 | 0.8877 | 3.7648 | -94.6172 | -72.5967 | -1.0623 | -1.0198 | |
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| 0.3192 | 0.4 | 1364 | 0.2003 | 1.3681 | -2.3819 | 0.9185 | 3.7500 | -86.9604 | -65.0880 | -1.1691 | -1.1334 | |
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| 0.5707 | 0.5 | 1705 | 0.1831 | 1.2028 | -3.2640 | 0.9293 | 4.4667 | -95.7812 | -66.7415 | -1.2287 | -1.1992 | |
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| 0.0427 | 0.6 | 2046 | 0.1718 | 1.3838 | -3.1327 | 0.9312 | 4.5166 | -94.4690 | -64.9309 | -1.1900 | -1.1566 | |
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| 0.1956 | 0.7 | 2387 | 0.1608 | 1.0344 | -3.7242 | 0.9366 | 4.7586 | -100.3841 | -68.4254 | -1.2044 | -1.1795 | |
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| 0.0319 | 0.8 | 2728 | 0.1595 | 1.0398 | -3.7445 | 0.9348 | 4.7843 | -100.5868 | -68.3711 | -1.2077 | -1.1849 | |
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| 0.0173 | 0.9 | 3069 | 0.1587 | 1.0566 | -3.7222 | 0.9348 | 4.7788 | -100.3634 | -68.2028 | -1.2118 | -1.1884 | |
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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 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
