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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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- kto |
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- generated_from_trainer |
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
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model-index: |
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- name: WeniGPT-QA-Zephyr-7B-5.0.1-KTO |
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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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# WeniGPT-QA-Zephyr-7B-5.0.1-KTO |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0146 |
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- Eval/rewards/chosen: 6.5462 |
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- Eval/rewards/rejected: -30.7776 |
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- Eval/kl: 0.2505 |
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- Eval/logps/chosen: -129.4441 |
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- Eval/logps/rejected: -508.0271 |
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- Eval/rewards/margins: 37.3238 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 0.03 |
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- training_steps: 262 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.1177 | 0.38 | 50 | 0.0468 | 24.8637 | |
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| 0.0257 | 0.76 | 100 | 0.0236 | 30.5016 | |
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| 0.0141 | 1.14 | 150 | 0.0219 | 33.9185 | |
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| 0.0103 | 1.52 | 200 | 0.0146 | 37.3238 | |
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| 0.0084 | 1.9 | 250 | 0.0129 | 39.0837 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
