<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Whisper-small-ar - Mourad Mars
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.322550
- Wer: 44.976586
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:
train_batch_size=16
eval_batch_size=8
optimizer: Adam
learning_rate=1e-5
warmup_steps=500
max_steps=4000
eval_steps=1000
metric_for_best_model="wer"
Training results
| Training Loss | Step | Validation Loss | Wer |
|---|---|---|---|
| 0.2811 | 1000 | 0.393018 | 53.778349 |
| 0.2356 | 2000 | 0.348794 | 47.793591 |
| 0.1705 | 3000 | 0.332207 | 45.758883 |
| 0.1476 | 4000 | 0.322550 | 44.976586 |
