Whisper Small Ar 4000 Finetuned - AzeemX
This model is a fine-tuned version of arbml/whisper-small-ar on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0551
- Wer: 137.1649
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|---|---|---|---|---|
| 0.1103 | 1.0323 | 1000 | 0.1106 | 77.6886 |
| 0.042 | 2.0645 | 2000 | 0.0782 | 75.1757 |
| 0.0146 | 3.0968 | 3000 | 0.0606 | 107.6103 |
| 0.0064 | 4.1290 | 4000 | 0.0551 | 137.1649 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 3.0.1
- Tokenizers 0.20.0