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fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa
    results: []

fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 11.3380
  • Accuracy: 0.5253

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0005
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 63 14.7499 0.2929
No log 2.0 126 13.0612 0.3636
No log 3.0 189 13.1660 0.4293
No log 4.0 252 13.4796 0.4848
No log 5.0 315 11.9863 0.5101
No log 6.0 378 11.3380 0.5253
No log 7.0 441 11.5841 0.4242
4.5481 8.0 504 15.3570 0.3485
4.5481 9.0 567 14.1857 0.1465
4.5481 10.0 630 13.5387 0.1263
4.5481 11.0 693 13.4757 0.1566
4.5481 12.0 756 14.4836 0.0657
4.5481 13.0 819 13.8175 0.0707
4.5481 14.0 882 14.0705 0.1313
4.5481 15.0 945 14.3308 0.0
7.3037 16.0 1008 14.2806 0.1263
7.3037 17.0 1071 14.2719 0.0101
7.3037 18.0 1134 13.7977 0.2727
7.3037 19.0 1197 14.2746 0.0657
7.3037 20.0 1260 14.0949 0.0

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0