WhisperLiveSubs
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: 0.6872
- Wer: 33.5230
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: 8
- eval_batch_size: 4
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2002 | 2.1529 | 1000 | 0.5344 | 52.4633 |
| 0.0573 | 4.3057 | 2000 | 0.5705 | 37.6640 |
| 0.0109 | 6.4586 | 3000 | 0.6432 | 36.3443 |
| 0.0044 | 8.6114 | 4000 | 0.6872 | 33.5230 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for codewithdark/WhisperLiveSubs
Base model
openai/whisper-small