WillHeld / byt5-small-cstop_artificial

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 05 2022
text2text-generation

Introduction of byt5-small-cstop_artificial

Model Details of byt5-small-cstop_artificial

byt5-small-cstop_artificial

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

  • Loss: 0.0414
  • Exact Match: 0.8283
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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 16
  • 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
0.2091 25.0 200 0.0555 0.0107
0.0129 50.0 400 0.0414 0.0411
0.004 75.0 600 0.0483 0.0394
0.0018 100.0 800 0.0556 0.0394
0.0011 125.0 1000 0.0598 0.0394
0.0008 150.0 1200 0.0580 0.0376
0.0008 175.0 1400 0.0627 0.0394
0.0005 200.0 1600 0.0658 0.0376
0.0005 225.0 1800 0.0657 0.0376
0.0004 250.0 2000 0.0687 0.0376
0.0003 275.0 2200 0.0731 0.0376
0.0003 300.0 2400 0.0723 0.0376
0.0002 325.0 2600 0.0736 0.0376
0.0002 350.0 2800 0.0741 0.0394
0.0002 375.0 3000 0.0745 0.0394
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.0
  • Tokenizers 0.13.2

Runs of WillHeld byt5-small-cstop_artificial on huggingface.co

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byt5-small-cstop_artificial huggingface.co

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byt5-small-cstop_artificial is an open source model from GitHub that offers a free installation service, and any user can find byt5-small-cstop_artificial on GitHub to install. At the same time, huggingface.co provides the effect of byt5-small-cstop_artificial install, users can directly use byt5-small-cstop_artificial installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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