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pratyush_whisper_tiny_finetune_teacher_clean_libri360_epochs_50_batch_16
This model is a fine-tuned version of openai/whisper-tiny.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2123
- Wer: 12.0749
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 512
- total_train_batch_size: 8192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5132 | 12.47 | 150 | 0.2368 | 13.3561 |
| 0.118 | 24.95 | 300 | 0.2032 | 12.0804 |
| 0.0672 | 37.47 | 450 | 0.2098 | 12.0308 |
| 0.0538 | 49.95 | 600 | 0.2123 | 12.0749 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0
