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whisper-tiny-no-specific-topic-v2

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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-tiny-no-specific-topic-v2
    results: []

whisper-tiny-no-specific-topic-v2

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

  • Loss: 1.0124
  • Wer: 41.8818

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: 8
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
0.4418 4.023 1000 0.7710 46.9364
0.1279 8.046 2000 0.8900 47.7000
0.025 13.0122 3000 0.9975 43.1818
0.0049 17.0353 4000 1.0124 41.8818

Framework versions

  • Transformers 4.50.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.4.1
  • Tokenizers 0.21.0