Elite_Enigmas/google/umt5-base

This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0961
  • Wer: 0.2812

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: 4
  • 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
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Wer
7.4871 4.0 4000 2.0314 1.2812
0.9487 8.0 8000 1.0738 0.3125
0.4547 12.0 12000 1.0961 0.2812

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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