cohogain's picture
update model card README.md
4c2df7b
metadata
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: openai/whisper-medium
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: ga-IE
          split: test
          args: ga-IE
        metrics:
          - name: Wer
            type: wer
            value: 32.955865272938446

openai/whisper-medium

This model is a fine-tuned version of openai/whisper-medium on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0432
  • Wer: 32.9559

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: 7000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2448 1.02 1000 0.8498 41.7538
0.0367 2.04 2000 0.8609 35.7724
0.0095 3.06 3000 0.9109 34.9303
0.0048 4.09 4000 0.9602 34.3496
0.0009 5.11 5000 1.0041 33.2172
0.0003 7.01 6000 1.0362 33.1010
0.0006 8.03 7000 1.0432 32.9559

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.1.dev0
  • Tokenizers 0.13.2