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README.md
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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-Agents-Zephyr-1.0.17-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-Agents-Zephyr-1.0.17-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: 0.3619
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- Eval/rewards/chosen: 1.7854
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- Eval/logps/chosen: -265.8084
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- Eval/rewards/rejected: -3.3369
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- Eval/logps/rejected: -297.7391
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- Eval/rewards/margins: 5.1223
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- Eval/kl: 3.9467
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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: 4
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- total_train_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: 0.03
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- training_steps: 145
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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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| 0.4039 | 0.34 | 50 | 0.3767 | 0.7345 |
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| 0.302 | 0.68 | 100 | 0.3619 | 3.9467 |
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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
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