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whisper_tn_hi_v3
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5846
- Wer: 78.6633
- Cer: 293.0339
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: 8
- 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
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.6414 | 1.0 | 409 | 0.8810 | 83.6367 | 247.9323 |
| 0.5322 | 2.0 | 818 | 0.6398 | 76.073 | 285.8609 |
| 0.3633 | 3.0 | 1227 | 0.5905 | 70.2743 | 268.7294 |
| 0.2979 | 4.0 | 1636 | 0.5846 | 78.6633 | 293.0339 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.6.1
- Tokenizers 0.11.0
