Whisper Small Croatian
This model is a fine-tuned version of openai/whisper-small on the parlaSmall_subset dataset. It achieves the following results on the evaluation set:
- Loss: 0.5739
- Wer: 25.4408
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|---|
| 0.0003 | 32.52 | 1000 | 0.5073 | 25.0630 |
| 0.0001 | 65.04 | 2000 | 0.5470 | 25.5668 |
| 0.0001 | 97.56 | 3000 | 0.5668 | 25.0630 |
| 0.0 | 130.08 | 4000 | 0.5739 | 25.4408 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0
- Datasets 2.19.1
- Tokenizers 0.15.1
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Base model
openai/whisper-small