Whisper Small Marathi - Devesh
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4955
- Wer: 42.8986
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0675 | 4.0650 | 1000 | 0.2960 | 46.0318 |
| 0.0052 | 8.1301 | 2000 | 0.3973 | 43.8399 |
| 0.0015 | 12.1951 | 3000 | 0.4573 | 43.4337 |
| 0.0001 | 16.2602 | 4000 | 0.4837 | 42.9308 |
| 0.0001 | 20.3252 | 5000 | 0.4955 | 42.8986 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1