Whisper Small En - Tarakeshwaran
This model is a fine-tuned version of openai/whisper-small on the minimal_common_voice_en dataset. It achieves the following results on the evaluation set:
- Loss: 1.041972
- Wer: 13.170732
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: adamw_bnb_8bit
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Tarakeshwaran/whisper-small-en
Base model
openai/whisper-smallDataset used to train Tarakeshwaran/whisper-small-en
Evaluation results
- Wer on minimal_common_voice_enself-reported13.171