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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-1.0.26-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-1.0.26-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: 0.5
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- Rewards/chosen: -231.0626
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- Rewards/rejected: -192.8458
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- Rewards/margins: -38.2168
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- Kl: 0.0
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- Logps/chosen: -2590.1130
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- Logps/rejected: -2166.6335
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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: 0.02
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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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| 0.5885 | 0.33 | 50 | 0.5 | -231.0727 | -192.8536 | -38.2191 | 0.0 | -2590.2131 | -2166.7112 |
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| 0.7906 | 0.66 | 100 | 0.5 | -231.0626 | -192.8458 | -38.2168 | 0.0 | -2590.1130 | -2166.6335 |
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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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