whisper-base-ar-common-fleurs
This model is a fine-tuned version of MohammedNasri/whisper-base-ar-common-fleurs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3732
- Wer: 57.3788
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: 16
- 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 |
|---|---|---|---|---|
| 0.4132 | 0.39 | 1000 | 0.4356 | 77.2091 |
| 0.3597 | 0.78 | 2000 | 0.3880 | 56.3555 |
| 0.2713 | 1.17 | 3000 | 0.3732 | 57.3788 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1