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arabic_whisper_tiny_fleurs2
This model is a fine-tuned version of openai/whisper-tiny on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.7056
- Wer: 59.3125
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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6177 | 3.33 | 500 | 0.7025 | 55.8000 |
| 0.3347 | 6.67 | 1000 | 0.6453 | 50.0625 |
| 0.2003 | 10.0 | 1500 | 0.6603 | 58.75 |
| 0.1364 | 13.33 | 2000 | 0.6730 | 59.7625 |
| 0.1017 | 16.67 | 2500 | 0.6968 | 58.3375 |
| 0.0796 | 20.0 | 3000 | 0.7056 | 59.3125 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
