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update model card README.md
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metadata
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-small-et-ERR2020
    results: []

whisper-small-et-ERR2020

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: 0.5321
  • Wer: 22.8462

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3387 0.1 1000 0.5383 33.8216
0.1393 0.2 2000 0.4897 27.7546
0.0982 0.3 3000 0.5477 26.7815
0.0912 1.02 4000 0.5195 24.8816
0.0811 1.12 5000 0.5373 25.9282
0.0649 1.22 6000 0.5422 23.7285
0.0618 1.32 7000 0.5504 23.5179
0.0558 2.03 8000 0.5321 22.8462
0.0452 2.13 9000 0.5543 23.5813
0.0462 2.23 10000 0.5424 22.8830

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+rocm5.1.1
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2