whisperbase-shreyas
This model is a fine-tuned version of openai/whisper-base on the AI4Bharat-svarah dataset. It achieves the following results on the evaluation set:
- Loss: 0.1469
- Wer: 23.6355
Model description
More information needed
Intended uses & limitations
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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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1893 | 2.6702 | 1000 | 0.3790 | 22.8606 |
| 0.0709 | 5.3458 | 2000 | 0.1469 | 23.6355 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.14.7
- Tokenizers 0.20.1
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openai/whisper-base