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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-1.0.9-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-1.0.9-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: 0.5443
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- Rewards/chosen: -130.8165
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- Logps/chosen: -1605.7635
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- Rewards/rejected: -121.0086
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- Logps/rejected: -1472.8949
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- Kl: 0.0
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- Rewards/margins: -16.2952
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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 | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Kl | Rewards/margins |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---:|:---------------:|
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| 0.4555 | 0.34 | 50 | 0.5443 | -148.8861 | -1786.4595 | -135.3632 | -1616.4402 | 0.0 | -20.0430 |
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| 0.5714 | 0.68 | 100 | 0.5443 | -130.8165 | -1605.7635 | -121.0086 | -1472.8949 | 0.0 | -16.2952 |
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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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