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--- |
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license: apache-2.0 |
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base_model: Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: biomistral-7b-wo-kqa_golden-iter-dpo-step3 |
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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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# biomistral-7b-wo-kqa_golden-iter-dpo-step3 |
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This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2](https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6829 |
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- Rewards/chosen: -0.0502 |
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- Rewards/rejected: -0.0800 |
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- Rewards/accuracies: 0.6300 |
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- Rewards/margins: 0.0298 |
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- Logps/rejected: -60.1185 |
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- Logps/chosen: -40.1264 |
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- Logits/rejected: -1.5228 |
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- Logits/chosen: -0.8710 |
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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: 1e-07 |
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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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- 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: 64 |
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- total_eval_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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.6794 | 0.37 | 100 | -0.8266 | -1.4757 | -35.5860 | -53.0765 | 0.6906 | 0.5900 | -0.0048 | 0.0048 | -0.0096 | |
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| 0.6555 | 0.74 | 200 | -0.8589 | -1.5130 | -39.0432 | -58.7210 | 0.6837 | 0.6400 | -0.0394 | 0.0267 | -0.0661 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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