zuazo / whisper-base-eu-composite_corpus_eu

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Total runs: 15
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: August 27 2024

Introduction of whisper-base-eu-composite_corpus_eu

Model Details of whisper-base-eu-composite_corpus_eu

openai/whisper-base

This model is a fine-tuned version of openai/whisper-base on the composite_corpus_eu dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0368
  • Wer: 41.1287
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: 2.5e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0011 45.45 1000 0.8320 40.0881
0.0003 90.91 2000 0.9262 40.5307
0.0002 136.36 3000 0.9838 41.0310
0.0001 181.82 4000 1.0194 41.2273
0.0001 227.27 5000 1.0368 41.1287
Framework versions
  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of zuazo whisper-base-eu-composite_corpus_eu on huggingface.co

15
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