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byt5-base-cstop_artificial

This model is a fine-tuned version of google/byt5-base on the cstop_artificial dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0461
  • Exact Match: 0.7996

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 3000

Training results

Training Loss Epoch Step Validation Loss Exact Match
0.2563 28.5 200 0.0461 0.0376
0.0065 57.13 400 0.0563 0.0376
0.0021 85.63 600 0.0592 0.0358
0.0013 114.25 800 0.0569 0.0376
0.0008 142.75 1000 0.0675 0.0358
0.0007 171.38 1200 0.0627 0.0394
0.0004 199.88 1400 0.0677 0.0358
0.0003 228.5 1600 0.0650 0.0376
0.0002 257.13 1800 0.0693 0.0394
0.0002 285.63 2000 0.0721 0.0394
0.0002 314.25 2200 0.0714 0.0376
0.0002 342.75 2400 0.0701 0.0394
0.0002 371.38 2600 0.0750 0.0394
0.0001 399.88 2800 0.0739 0.0394
0.0001 428.5 3000 0.0745 0.0394

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.0
  • Tokenizers 0.13.2
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