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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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- dpo
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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-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO
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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-2.4.1-Zephyr-7B-3-epochs-LLM_Base_2.0.3_DPO
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6603
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- Rewards/chosen: -0.0862
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- Rewards/rejected: -0.8016
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- Rewards/accuracies: 0.0500
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- Rewards/margins: 0.7154
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- Logps/rejected: -15.9648
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- Logps/chosen: -5.8822
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- Logits/rejected: -2.0424
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- Logits/chosen: -2.0422
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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: 0.1
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- training_steps: 267
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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/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.645 | 1.12 | 100 | 0.6629 | -0.0384 | -0.7857 | 0.0469 | 0.7473 | -15.8056 | -5.4039 | -2.0586 | -2.0584 |
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| 0.6487 | 2.23 | 200 | 0.6603 | -0.0862 | -0.8016 | 0.0500 | 0.7154 | -15.9648 | -5.8822 | -2.0424 | -2.0422 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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