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README.md
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---
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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-1.0.27-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-1.0.27-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: 0.4799
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- Rewards/chosen: 0.0648
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- Rewards/rejected: -0.1020
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- Rewards/margins: 0.1668
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- Kl: 0.9039
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- Logps/chosen: -278.8387
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- Logps/rejected: -239.1956
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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: 2e-06
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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: 147
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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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| 0.5716 | 0.33 | 50 | 0.4898 | 0.0297 | -0.0529 | 0.0826 | 0.4425 | -279.1900 | -238.7043 |
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| 0.6643 | 0.66 | 100 | 0.4799 | 0.0648 | -0.1020 | 0.1668 | 0.9039 | -278.8387 | -239.1956 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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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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