another_local / README.md
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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: another_local
    results: []

another_local

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: 0.5372
  • Wer: 130.3266

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • 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
0.1972 1.6 500 0.4266 105.1927
0.033 3.19 1000 0.4507 209.0820
0.0167 4.79 1500 0.4738 96.0643
0.0052 6.39 2000 0.4948 143.7616
0.0035 7.99 2500 0.5144 126.8133
0.0047 9.58 3000 0.5273 133.8966
0.0033 11.18 3500 0.5349 137.8580
0.0026 12.78 4000 0.5372 130.3266

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0