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--- |
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license: apache-2.0 |
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base_model: Minbyul/mistral-7b-wo-medication_qa-sft |
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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: mistral-7b-dpo-full-sft-wo-medication_qa |
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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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# mistral-7b-dpo-full-sft-wo-medication_qa |
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-medication_qa-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0756 |
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- Rewards/chosen: -3.7115 |
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- Rewards/rejected: -11.1989 |
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- Rewards/accuracies: 0.9531 |
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- Rewards/margins: 7.4875 |
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- Logps/rejected: -1662.8185 |
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- Logps/chosen: -803.2770 |
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- Logits/rejected: -2.3910 |
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- Logits/chosen: -2.5860 |
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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-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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| 0.2799 | 0.31 | 100 | -3.0348 | -3.0868 | -584.1479 | -794.0103 | 0.5261 | 0.75 | -1.5202 | 0.9907 | -2.5108 | |
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| 0.154 | 0.62 | 200 | -2.6948 | -2.5547 | -742.1359 | -1446.8754 | 0.0923 | 0.9375 | -3.1001 | 5.9394 | -9.0395 | |
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| 0.0948 | 0.92 | 300 | -2.5877 | -2.3930 | -803.1033 | -1661.4266 | 0.0753 | 0.9531 | -3.7097 | 7.4753 | -11.1850 | |
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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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