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

fresh-2-layer-arc-distill-of-fresh-2-layer-gpqa

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

  • Loss: 17.6969
  • Accuracy: 0.4697

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 15.3758 0.2980
No log 2.0 126 17.7481 0.3131
No log 3.0 189 17.2496 0.3485
No log 4.0 252 21.2791 0.3889
No log 5.0 315 15.8656 0.4091
No log 6.0 378 17.6969 0.4697
No log 7.0 441 19.0015 0.4091
2.8992 8.0 504 18.0056 0.3939
2.8992 9.0 567 18.0133 0.3889
2.8992 10.0 630 16.3063 0.4242
2.8992 11.0 693 17.3745 0.4343
2.8992 12.0 756 17.3269 0.3838
2.8992 13.0 819 16.1809 0.3889
2.8992 14.0 882 17.2396 0.3939
2.8992 15.0 945 17.6566 0.3990
0.4269 16.0 1008 17.4774 0.4192
0.4269 17.0 1071 16.4508 0.3889
0.4269 18.0 1134 16.7112 0.3737
0.4269 19.0 1197 17.0893 0.3889
0.4269 20.0 1260 16.8349 0.3889

Framework versions

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