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--- |
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base_model: Minbyul/selfbiorag-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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- alignment-handbook |
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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: selfbiorag-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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# selfbiorag-7b-dpo-full-sft-wo-medication_qa |
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This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/selfbiorag-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: 0.2759 |
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- Rewards/chosen: -1.2305 |
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- Rewards/rejected: -7.1000 |
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- Rewards/accuracies: 0.8920 |
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- Rewards/margins: 5.8695 |
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- Logps/rejected: -1442.5582 |
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- Logps/chosen: -679.8936 |
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- Logits/rejected: -0.3285 |
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- Logits/chosen: -0.3524 |
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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: 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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| 0.2249 | 0.32 | 100 | -0.1107 | -0.0290 | -650.2339 | -1190.2701 | 0.3821 | 0.8551 | -0.9339 | 3.6432 | -4.5771 | |
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| 0.1549 | 0.65 | 200 | -0.3180 | -0.3222 | -652.9113 | -1308.4048 | 0.2709 | 0.8977 | -0.9607 | 4.7978 | -5.7585 | |
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| 0.0946 | 0.97 | 300 | -0.3523 | -0.3283 | -679.6155 | -1442.4718 | 0.2756 | 0.8920 | -1.2277 | 5.8714 | -7.0991 | |
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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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