jinx2321 / byt5-1e4-paper

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Total runs: 264
24-hour runs: 3
7-day runs: 22
30-day runs: 251
Model's Last Updated: June 03 2025
text-generation

Introduction of byt5-1e4-paper

Model Details of byt5-1e4-paper

byt5-1e4-paper

This model is a fine-tuned version of google/byt5-small on the None dataset.

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: 0.0001
  • train_batch_size: 128
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Framework versions
  • Transformers 4.52.0.dev0
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.1
  • Tokenizers 0.21.1

Runs of jinx2321 byt5-1e4-paper on huggingface.co

264
Total runs
3
24-hour runs
8
3-day runs
22
7-day runs
251
30-day runs

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byt5-1e4-paper install

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jinx2321
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Total runs: 34
Run Growth: 0
Growth Rate: 0.00%
Updated:June 20 2025