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

whisper-medium-atcosim

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

  • Loss: 0.0493
  • Wer: 79.0563

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: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Wer
0.129 8.33 500 0.0419 2.3014
0.0004 16.67 1000 0.0428 17.1282
0.0002 25.0 1500 0.0426 10.4510
0.0012 33.33 2000 0.0427 39.6277
0.0003 41.67 2500 0.0423 58.2515
0.0 50.0 3000 0.0456 54.7324
0.0 58.33 3500 0.0468 61.8402
0.0 66.67 4000 0.0477 68.6794
0.0 75.0 4500 0.0483 72.7172
0.0 83.33 5000 0.0488 76.2502
0.0 91.67 5500 0.0491 78.2228
0.0 100.0 6000 0.0493 79.0563

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.15.0
  • Tokenizers 0.15.0