Whisper Small He - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9486
- Wer: 71.8172
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.1591 | 5.1948 | 400 | 0.6390 | 74.0479 |
0.0164 | 10.3896 | 800 | 0.7373 | 74.3199 |
0.0078 | 15.5844 | 1200 | 0.8321 | 73.3950 |
0.0028 | 20.7792 | 1600 | 0.8744 | 74.2111 |
0.0012 | 25.9740 | 2000 | 0.9024 | 71.8172 |
0.0003 | 31.1688 | 2400 | 0.9137 | 72.0348 |
0.0002 | 36.3636 | 2800 | 0.9279 | 71.8172 |
0.0002 | 41.5584 | 3200 | 0.9391 | 71.8172 |
0.0002 | 46.7532 | 3600 | 0.9457 | 71.8172 |
0.0002 | 51.9481 | 4000 | 0.9486 | 71.8172 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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