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--- |
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license: mit |
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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: HuggingFaceH4/zephyr-7b-beta |
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model-index: |
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- name: WeniGPT-QA-Zephyr-7B-4.0.1-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-4.0.1-KTO |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0038 |
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- Rewards/chosen: 6.5225 |
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- Rewards/rejected: -33.7048 |
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- Rewards/margins: 40.2273 |
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- Kl: 0.0 |
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- Logps/chosen: -111.4407 |
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- Logps/rejected: -539.2156 |
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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: 786 |
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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 | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl | Logps/chosen | Logps/rejected | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:---------------:|:---:|:------------:|:--------------:| |
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| 0.204 | 0.38 | 50 | 0.0275 | 5.6328 | -20.3465 | 25.9793 | 0.0 | -120.3375 | -405.6329 | |
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| 0.073 | 0.76 | 100 | 0.0143 | 5.7898 | -19.2664 | 25.0562 | 0.0 | -118.7677 | -394.8320 | |
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| 0.0553 | 1.13 | 150 | 0.0225 | 5.8121 | -29.9815 | 35.7935 | 0.0 | -118.5453 | -501.9826 | |
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| 0.0232 | 1.51 | 200 | 0.0048 | 6.4515 | -27.5911 | 34.0425 | 0.0 | -112.1512 | -478.0785 | |
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| 0.0519 | 1.89 | 250 | 0.0081 | 6.4814 | -30.4910 | 36.9724 | 0.0 | -111.8522 | -507.0782 | |
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| 0.0095 | 2.27 | 300 | 0.0154 | 6.4081 | -33.8838 | 40.2919 | 0.0 | -112.5852 | -541.0063 | |
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| 0.0098 | 2.65 | 350 | 0.0052 | 6.5962 | -41.2733 | 47.8696 | 0.0 | -110.7035 | -614.9014 | |
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| 0.0038 | 3.02 | 400 | 0.0038 | 6.5225 | -33.7048 | 40.2273 | 0.0 | -111.4407 | -539.2156 | |
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| 0.0068 | 3.4 | 450 | 0.0080 | 6.3449 | -43.3527 | 49.6976 | 0.0 | -113.2169 | -635.6954 | |
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| 0.0037 | 3.78 | 500 | 0.0071 | 6.5639 | -44.5033 | 51.0672 | 0.0 | -111.0268 | -647.2004 | |
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| 0.0032 | 4.16 | 550 | 0.0085 | 6.6333 | -29.5095 | 36.1428 | 0.0 | -110.3333 | -497.2631 | |
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| 0.0029 | 4.54 | 600 | 0.0048 | 6.5574 | -42.0858 | 48.6432 | 0.0 | -111.0921 | -623.0258 | |
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| 0.0028 | 4.91 | 650 | 0.0041 | 6.6663 | -41.3645 | 48.0309 | 0.0 | -110.0026 | -615.8130 | |
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| 0.0032 | 5.29 | 700 | 0.0040 | 6.6773 | -41.2318 | 47.9091 | 0.0 | -109.8931 | -614.4858 | |
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| 0.003 | 5.67 | 750 | 0.0040 | 6.6870 | -41.2272 | 47.9142 | 0.0 | -109.7961 | -614.4399 | |
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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 0.15.2 |
