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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_SFT_e1_DPO_e2 |
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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_SFT_e1_DPO_e2 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1258 |
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- Rewards/chosen: 0.3605 |
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- Rewards/rejected: -1.7770 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 2.1375 |
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- Logps/rejected: -203.4181 |
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- Logps/chosen: -156.2596 |
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- Logits/rejected: -1.0532 |
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- Logits/chosen: -0.8665 |
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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: 7e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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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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| 0.6825 | 0.1 | 25 | 0.6596 | 0.0243 | -0.0451 | 0.8667 | 0.0694 | -186.0986 | -159.6209 | -1.0534 | -0.8570 | |
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| 0.6018 | 0.2 | 50 | 0.5820 | 0.0671 | -0.1728 | 0.9800 | 0.2399 | -187.3757 | -159.1936 | -1.0531 | -0.8568 | |
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| 0.5333 | 0.3 | 75 | 0.5021 | 0.1133 | -0.3236 | 1.0 | 0.4369 | -188.8834 | -158.7311 | -1.0544 | -0.8586 | |
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| 0.4522 | 0.4 | 100 | 0.4213 | 0.1615 | -0.5029 | 1.0 | 0.6644 | -190.6768 | -158.2497 | -1.0547 | -0.8596 | |
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| 0.3962 | 0.5 | 125 | 0.3555 | 0.1988 | -0.6844 | 1.0 | 0.8832 | -192.4913 | -157.8759 | -1.0548 | -0.8608 | |
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| 0.3164 | 0.6 | 150 | 0.2920 | 0.2416 | -0.8872 | 1.0 | 1.1288 | -194.5195 | -157.4483 | -1.0550 | -0.8660 | |
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| 0.2673 | 0.7 | 175 | 0.2400 | 0.2789 | -1.0936 | 1.0 | 1.3725 | -196.5838 | -157.0758 | -1.0540 | -0.8656 | |
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| 0.217 | 0.79 | 200 | 0.2008 | 0.3028 | -1.2873 | 1.0 | 1.5900 | -198.5201 | -156.8367 | -1.0540 | -0.8668 | |
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| 0.1822 | 0.89 | 225 | 0.1694 | 0.3294 | -1.4600 | 1.0 | 1.7894 | -200.2475 | -156.5703 | -1.0541 | -0.8674 | |
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| 0.1578 | 0.99 | 250 | 0.1483 | 0.3436 | -1.6056 | 1.0 | 1.9492 | -201.7036 | -156.4280 | -1.0538 | -0.8668 | |
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| 0.1509 | 1.09 | 275 | 0.1364 | 0.3512 | -1.6903 | 1.0 | 2.0414 | -202.5503 | -156.3527 | -1.0534 | -0.8666 | |
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| 0.1273 | 1.19 | 300 | 0.1322 | 0.3561 | -1.7242 | 1.0 | 2.0804 | -202.8900 | -156.3031 | -1.0532 | -0.8657 | |
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| 0.1208 | 1.29 | 325 | 0.1284 | 0.3561 | -1.7546 | 1.0 | 2.1106 | -203.1934 | -156.3038 | -1.0534 | -0.8668 | |
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| 0.1325 | 1.39 | 350 | 0.1270 | 0.3598 | -1.7654 | 1.0 | 2.1252 | -203.3020 | -156.2663 | -1.0532 | -0.8665 | |
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| 0.1287 | 1.49 | 375 | 0.1263 | 0.3618 | -1.7718 | 1.0 | 2.1336 | -203.3654 | -156.2462 | -1.0534 | -0.8666 | |
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| 0.1203 | 1.59 | 400 | 0.1252 | 0.3624 | -1.7783 | 1.0 | 2.1407 | -203.4305 | -156.2402 | -1.0532 | -0.8666 | |
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| 0.1188 | 1.69 | 425 | 0.1254 | 0.3610 | -1.7767 | 1.0 | 2.1377 | -203.4145 | -156.2542 | -1.0530 | -0.8664 | |
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| 0.1331 | 1.79 | 450 | 0.1253 | 0.3640 | -1.7760 | 1.0 | 2.1400 | -203.4073 | -156.2242 | -1.0531 | -0.8662 | |
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| 0.1301 | 1.89 | 475 | 0.1252 | 0.3641 | -1.7772 | 1.0 | 2.1413 | -203.4194 | -156.2230 | -1.0531 | -0.8667 | |
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| 0.1289 | 1.99 | 500 | 0.1258 | 0.3605 | -1.7770 | 1.0 | 2.1375 | -203.4181 | -156.2596 | -1.0532 | -0.8665 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
