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--- |
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license: apache-2.0 |
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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: mistralai/Mistral-7B-Instruct-v0.2 |
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model-index: |
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- name: DPO_TEST_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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# DPO_TEST_1 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0229 |
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- Rewards/chosen: -740.3076 |
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- Rewards/rejected: -1059.6395 |
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- Rewards/accuracies: 0.9988 |
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- Rewards/margins: 319.3320 |
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- Logps/rejected: -10817.7158 |
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- Logps/chosen: -7838.3896 |
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- Logits/rejected: -32.6170 |
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- Logits/chosen: -26.3151 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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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: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 25806 |
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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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| 37.7926 | 0.67 | 2867 | 2.8916 | -149.7567 | -197.0506 | 0.9359 | 47.2939 | -2191.8269 | -1932.8804 | 38.0669 | 4.1036 | |
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| 84.7229 | 1.33 | 5734 | 2.0247 | -327.4202 | -450.9706 | 0.9656 | 123.5504 | -4731.0264 | -3709.5146 | -17.6232 | -16.2614 | |
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| 0.4302 | 2.0 | 8601 | 0.2490 | -391.4300 | -536.8747 | 0.9923 | 145.4447 | -5590.0679 | -4349.6123 | -13.6537 | -12.7337 | |
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| 0.6952 | 2.67 | 11468 | 0.0587 | -606.4489 | -775.4740 | 0.9970 | 169.0251 | -7976.0605 | -6499.8027 | 8.1646 | -0.2018 | |
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| 0.2119 | 3.33 | 14335 | 0.2843 | -641.6364 | -925.0908 | 0.9907 | 283.4543 | -9472.2285 | -6851.6772 | -11.2088 | -13.0496 | |
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| 0.129 | 4.0 | 17202 | 0.1065 | -706.7910 | -1019.4420 | 0.9958 | 312.6511 | -10415.7412 | -7503.2227 | 29.4650 | 10.0032 | |
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| 0.1046 | 4.67 | 20069 | 0.1005 | -758.2514 | -1105.3041 | 0.9977 | 347.0525 | -11274.3594 | -8017.8281 | -37.3526 | -28.3912 | |
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| 0.0656 | 5.33 | 22936 | 0.0241 | -790.2775 | -1078.3324 | 0.9986 | 288.0548 | -11004.6445 | -8338.0889 | -7.1017 | -13.6854 | |
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| 0.0 | 6.0 | 25803 | 0.0229 | -740.3076 | -1059.6395 | 0.9988 | 319.3320 | -10817.7158 | -7838.3896 | -32.6170 | -26.3151 | |
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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 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
