whisper-small-id-v2
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0832
- Wer: 8.4163
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 |
|---|---|---|---|---|
| 0.1952 | 0.3364 | 1000 | 0.1546 | 14.3557 |
| 0.1648 | 0.6727 | 2000 | 0.1158 | 11.4672 |
| 0.0563 | 1.0091 | 3000 | 0.0903 | 9.2774 |
| 0.0407 | 1.3454 | 4000 | 0.0832 | 8.4163 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for anggiatm/whisper-small-id-v2
Base model
openai/whisper-small