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Whisper Medium
This model is a fine-tuned version of b-brave/asr_double_training_15-10-2024_merged on the ASR_BB_and_EC dataset. It achieves the following results on the evaluation set:
- Loss: 0.4742
- Wer: 35.9356
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7705 | 0.8929 | 100 | 0.4884 | 36.5551 |
| 0.7194 | 1.7857 | 200 | 0.4838 | 36.6791 |
| 0.7372 | 2.6786 | 300 | 0.4806 | 36.4312 |
| 0.6967 | 3.5714 | 400 | 0.4782 | 36.3073 |
| 0.649 | 4.4643 | 500 | 0.4761 | 36.3073 |
| 0.7127 | 5.3571 | 600 | 0.4742 | 35.9356 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.2.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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