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whisper-small-gu

Automatic Speech Recognition
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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-small-gu
    results: []

whisper-small-gu

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9980
  • Wer: 101.5466

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.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: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.2455 17.5439 1000 1.2529 100.0
1.0102 35.0877 2000 1.0608 105.5149
0.894 52.6316 3000 1.0094 101.7908
0.8411 70.1754 4000 0.9980 101.5466

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu118
  • Datasets 3.1.0
  • Tokenizers 0.21.0