whisper-small-bn
This model is a fine-tuned version of bangla-speech-processing/BanglaASR on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4061
- Wer: 40.6689
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: 26
- eval_batch_size: 26
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4439 | 0.15 | 100 | 0.4061 | 40.6689 |
| 0.1294 | 0.3 | 200 | 0.1215 | 99.9192 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for alexviol/whisper-small-bn
Base model
bangla-speech-processing/BanglaASR