<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Whisper Small Marathi
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 mr dataset. It achieves the following results on the evaluation set:
- Loss: 0.6231
- Wer: 18.5782
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: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0027 | 18.87 | 1000 | 0.5090 | 20.0322 |
| 0.0007 | 37.74 | 2000 | 0.5729 | 19.0012 |
| 0.0 | 56.6 | 3000 | 0.6231 | 18.5782 |
| 0.0 | 75.47 | 4000 | 0.6435 | 18.6238 |
| 0.0 | 94.34 | 5000 | 0.6520 | 18.6046 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
