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fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa-loop-4
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa-loop-4
    results: []

fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa-loop-4

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

  • Loss: 0.4186
  • Accuracy: 0.5051

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 2.8693 0.2677
No log 2.0 126 2.2777 0.3485
No log 3.0 189 1.0399 0.4141
No log 4.0 252 1.8741 0.4293
No log 5.0 315 1.2779 0.4394
No log 6.0 378 0.7112 0.4646
No log 7.0 441 0.8380 0.4596
1.9226 8.0 504 0.7028 0.4697
1.9226 9.0 567 0.6589 0.4848
1.9226 10.0 630 0.6303 0.4495
1.9226 11.0 693 0.7083 0.4646
1.9226 12.0 756 0.4850 0.4899
1.9226 13.0 819 0.5145 0.4848
1.9226 14.0 882 0.7032 0.4697
1.9226 15.0 945 0.4812 0.4697
0.2279 16.0 1008 0.4186 0.5051
0.2279 17.0 1071 0.3735 0.5
0.2279 18.0 1134 0.3894 0.5051
0.2279 19.0 1197 0.3845 0.5051
0.2279 20.0 1260 0.3925 0.5051

Framework versions

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