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asr_training_small

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metadata
license: apache-2.0
base_model: openai/whisper-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: asr_training_small
    results: []

asr_training_small

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

  • Loss: 0.0418
  • Wer: 3.7953

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
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1348 1.0 175 0.0469 5.1263
0.0305 2.0 350 0.0392 3.9474
0.0185 3.0 525 0.0396 3.8333
0.0112 4.0 700 0.0418 3.7953

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.3.0+cu118
  • Datasets 2.19.0
  • Tokenizers 0.19.1