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--- |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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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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model-index: |
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- name: MedQA_L3_150steps_1e6rate_03beat_CSFTDPO |
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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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# MedQA_L3_150steps_1e6rate_03beat_CSFTDPO |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5020 |
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- Rewards/chosen: -0.9020 |
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- Rewards/rejected: -1.9172 |
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- Rewards/accuracies: 0.7297 |
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- Rewards/margins: 1.0152 |
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- Logps/rejected: -27.7072 |
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- Logps/chosen: -21.2293 |
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- Logits/rejected: -1.0337 |
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- Logits/chosen: -1.0327 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_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: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 150 |
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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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| 0.7072 | 0.0489 | 50 | 0.6474 | 0.1422 | 0.0242 | 0.6505 | 0.1180 | -21.2360 | -17.7487 | -0.9397 | -0.9391 | |
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| 0.6194 | 0.0977 | 100 | 0.5755 | -0.5279 | -1.1917 | 0.6989 | 0.6638 | -25.2888 | -19.9824 | -1.0174 | -1.0166 | |
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| 0.5632 | 0.1466 | 150 | 0.5020 | -0.9020 | -1.9172 | 0.7297 | 1.0152 | -27.7072 | -21.2293 | -1.0337 | -1.0327 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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