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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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- dpo |
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- DPO |
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- WeniGPT |
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- generated_from_trainer |
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base_model: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged |
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model-index: |
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- name: WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-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-Agents-Mistral-1.0.0-SFT-1.0.21-DPO |
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This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged](https://huggingface.co/Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0520 |
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- Rewards/chosen: 2.3217 |
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- Rewards/rejected: -1.5051 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 3.8268 |
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- Logps/rejected: -167.9981 |
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- Logps/chosen: -107.6077 |
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- Logits/rejected: -1.7717 |
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- Logits/chosen: -1.7573 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 4 |
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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: 180 |
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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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| 0.3976 | 0.9677 | 30 | 0.3186 | 0.8373 | -0.0381 | 1.0 | 0.8754 | -160.6632 | -115.0300 | -1.7561 | -1.7413 | |
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| 0.1934 | 1.9355 | 60 | 0.1752 | 1.6472 | -0.5496 | 1.0 | 2.1968 | -163.2207 | -110.9804 | -1.7603 | -1.7456 | |
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| 0.1058 | 2.9032 | 90 | 0.1096 | 1.9881 | -0.7856 | 1.0 | 2.7737 | -164.4007 | -109.2759 | -1.7637 | -1.7491 | |
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| 0.0527 | 3.8710 | 120 | 0.0787 | 2.1758 | -1.0246 | 1.0 | 3.2004 | -165.5957 | -108.3371 | -1.7676 | -1.7532 | |
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| 0.0526 | 4.8387 | 150 | 0.0577 | 2.2762 | -1.3610 | 1.0 | 3.6373 | -167.2778 | -107.8351 | -1.7693 | -1.7549 | |
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| 0.0529 | 5.8065 | 180 | 0.0520 | 2.3217 | -1.5051 | 1.0 | 3.8268 | -167.9981 | -107.6077 | -1.7717 | -1.7573 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
