whisper-base-mixed_basewhisper_v1.1
This model was trained from scratch on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Cer: 47.2222
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 | Cer |
|---|---|---|---|---|
| 0.0 | 1000.0 | 1000 | 0.0000 | 69.4444 |
| 0.0 | 2000.0 | 2000 | 0.0000 | 44.4444 |
| 0.0 | 3000.0 | 3000 | 0.0000 | 47.2222 |
| 0.0 | 4000.0 | 4000 | 0.0000 | 47.2222 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.15.0
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