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fresh-2-layer-piqa16113-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

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

  • Loss: 12.5601
  • Accuracy: 0.5202

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: 32
  • eval_batch_size: 32
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.2 100 17.5725 0.2273
No log 0.4 200 13.7753 0.3939
No log 0.6 300 14.6182 0.3687
No log 0.79 400 13.4422 0.3687
2.8312 0.99 500 12.2908 0.4242
2.8312 1.19 600 13.2865 0.3687
2.8312 1.39 700 12.8823 0.4596
2.8312 1.59 800 12.7374 0.4747
2.8312 1.79 900 14.0988 0.4848
1.0908 1.98 1000 12.8163 0.5
1.0908 2.18 1100 13.4111 0.5051
1.0908 2.38 1200 12.8755 0.4697
1.0908 2.58 1300 12.9406 0.5101
1.0908 2.78 1400 13.3437 0.4747
0.6569 2.98 1500 15.6074 0.4899
0.6569 3.17 1600 12.5601 0.5202
0.6569 3.37 1700 13.7042 0.5051
0.6569 3.57 1800 12.6509 0.4848
0.6569 3.77 1900 12.9618 0.5152
0.4619 3.97 2000 13.1769 0.4697
0.4619 4.17 2100 13.0498 0.4646

Framework versions

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