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--- |
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license: mit |
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base_model: HuggingFaceH4/mistral-7b-sft-beta |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-full-debug-regression |
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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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# zephyr-7b-dpo-full-debug-regression |
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7240 |
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- Rewards/chosen: -4.3843 |
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- Rewards/rejected: -7.9101 |
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- Rewards/accuracies: 0.7640 |
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- Rewards/margins: 3.5258 |
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- Logps/rejected: -311.4621 |
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- Logps/chosen: -319.5667 |
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- Logits/rejected: -2.4790 |
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- Logits/chosen: -2.5088 |
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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-07 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 32 |
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- total_eval_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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 0.533 | 0.26 | 500 | 0.5084 | -0.1902 | -1.3680 | 0.7780 | 1.1778 | -246.0413 | -277.6251 | -2.9319 | -2.9487 | |
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| 0.4907 | 0.52 | 1000 | 0.5234 | -0.3346 | -1.8153 | 0.7620 | 1.4807 | -250.5139 | -279.0693 | -2.8401 | -2.8442 | |
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| 0.4388 | 0.77 | 1500 | 0.5202 | -0.7856 | -2.2720 | 0.7920 | 1.4864 | -255.0812 | -283.5798 | -2.7420 | -2.7444 | |
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| 0.0651 | 1.03 | 2000 | 0.5049 | -1.0044 | -2.8702 | 0.7860 | 1.8658 | -261.0635 | -285.7675 | -2.7335 | -2.7412 | |
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| 0.0887 | 1.29 | 2500 | 0.5946 | -1.9888 | -3.9256 | 0.7480 | 1.9368 | -271.6175 | -295.6113 | -2.5940 | -2.6173 | |
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| 0.0747 | 1.55 | 3000 | 0.5748 | -1.9590 | -4.0271 | 0.7560 | 2.0681 | -272.6327 | -295.3135 | -2.4969 | -2.5205 | |
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| 0.101 | 1.81 | 3500 | 0.5783 | -1.9521 | -4.1853 | 0.7680 | 2.2332 | -274.2144 | -295.2442 | -2.5069 | -2.5278 | |
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| 0.0195 | 2.07 | 4000 | 0.6253 | -2.9322 | -5.7633 | 0.7600 | 2.8310 | -289.9938 | -305.0455 | -2.4935 | -2.5158 | |
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| 0.0191 | 2.32 | 4500 | 0.7215 | -4.2183 | -7.6216 | 0.7620 | 3.4034 | -308.5774 | -317.9060 | -2.4756 | -2.5036 | |
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| 0.0105 | 2.58 | 5000 | 0.7341 | -4.2607 | -7.7440 | 0.7600 | 3.4833 | -309.8016 | -318.3306 | -2.5156 | -2.5437 | |
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| 0.0092 | 2.84 | 5500 | 0.7330 | -4.3756 | -7.9435 | 0.7600 | 3.5679 | -311.7966 | -319.4794 | -2.4856 | -2.5149 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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