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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-1.0.23-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-1.0.23-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: -253.6596 |
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- Rewards/rejected: -211.2579 |
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- Rewards/margins: -42.4016 |
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- Kl: 0.0 |
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- Logps/chosen: -2820.3469 |
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- Logps/rejected: -2352.2148 |
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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: 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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| 0.6222 | 0.32 | 50 | 0.5 | -253.6881 | -211.3268 | -42.3612 | 0.0 | -2820.6318 | -2352.9041 | |
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| 0.6529 | 0.65 | 100 | 0.5 | -253.6596 | -211.2579 | -42.4016 | 0.0 | -2820.3469 | -2352.2148 | |
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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 |
