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--- |
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license: llama3.1 |
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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/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: llama3.1_8b_dpo_bwgenerator_test |
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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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# llama3.1_8b_dpo_bwgenerator_test |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0381 |
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- Rewards/chosen: -9.3770 |
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- Rewards/rejected: -40.9760 |
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- Rewards/accuracies: 0.9961 |
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- Rewards/margins: 31.5990 |
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- Logps/rejected: -519.9075 |
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- Logps/chosen: -178.3189 |
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- Logits/rejected: -1.4901 |
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- Logits/chosen: -1.9907 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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: 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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| 0.0864 | 0.0719 | 1000 | 0.1031 | -24.3451 | -55.7071 | 0.9919 | 31.3620 | -667.2187 | -328.0001 | -1.3920 | -1.9101 | |
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| 0.0721 | 0.1438 | 2000 | 0.0666 | -17.1956 | -43.6489 | 0.9932 | 26.4533 | -546.6367 | -256.5046 | -1.3146 | -1.8819 | |
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| 0.0513 | 0.2157 | 3000 | 0.0586 | -13.4148 | -39.7394 | 0.9932 | 26.3247 | -507.5419 | -218.6962 | -1.5754 | -2.0549 | |
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| 0.0391 | 0.2876 | 4000 | 0.0518 | -11.9859 | -42.5627 | 0.9942 | 30.5768 | -535.7746 | -204.4073 | -1.5376 | -2.0293 | |
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| 0.0431 | 0.3595 | 5000 | 0.0584 | -15.0281 | -51.9022 | 0.9945 | 36.8741 | -629.1698 | -234.8300 | -1.5020 | -2.0037 | |
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| 0.0386 | 0.4313 | 6000 | 0.0399 | -10.5384 | -39.9545 | 0.9961 | 29.4161 | -509.6927 | -189.9328 | -1.5356 | -2.0315 | |
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| 0.0417 | 0.5032 | 7000 | 0.0452 | -11.8813 | -46.2602 | 0.9955 | 34.3789 | -572.7493 | -203.3616 | -1.4399 | -1.9551 | |
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| 0.06 | 0.5751 | 8000 | 0.0387 | -9.4865 | -39.5614 | 0.9958 | 30.0749 | -505.7617 | -179.4136 | -1.5289 | -2.0209 | |
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| 0.0478 | 0.6470 | 9000 | 0.0376 | -9.9444 | -40.6988 | 0.9961 | 30.7544 | -517.1356 | -183.9923 | -1.5154 | -2.0106 | |
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| 0.022 | 0.7189 | 10000 | 0.0399 | -9.6813 | -41.9896 | 0.9961 | 32.3084 | -530.0439 | -181.3615 | -1.4896 | -1.9912 | |
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| 0.0254 | 0.7908 | 11000 | 0.0378 | -9.1448 | -40.6698 | 0.9961 | 31.5250 | -516.8457 | -175.9964 | -1.5031 | -2.0023 | |
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| 0.0357 | 0.8627 | 12000 | 0.0387 | -9.6321 | -41.6962 | 0.9961 | 32.0641 | -527.1096 | -180.8692 | -1.4851 | -1.9878 | |
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| 0.0626 | 0.9346 | 13000 | 0.0381 | -9.3770 | -40.9760 | 0.9961 | 31.5990 | -519.9075 | -178.3189 | -1.4901 | -1.9907 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.19.1 |
