Whisper Small arb - GP
This model is a fine-tuned version of openai/whisper-small on the Dialect Arabic dataset. It achieves the following results on the evaluation set:
- Loss: 2.1489
- Wer: 110.7984
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
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9933 | 1.89 | 1000 | 2.0970 | 125.2555 |
| 1.3119 | 3.79 | 2000 | 1.9818 | 113.1290 |
| 0.7643 | 5.68 | 3000 | 2.0559 | 115.4176 |
| 0.5144 | 7.58 | 4000 | 2.1489 | 110.7984 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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