whisper-small-ar2
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_17_0 ar dataset. It achieves the following results on the evaluation set:
- Loss: 1.2796
- Wer: 0.7637
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
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3226 | 20.8333 | 250 | 1.0813 | 0.7584 |
| 0.0021 | 41.6667 | 500 | 1.2796 | 0.7637 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for akhooli/whisper-small-ar2
Base model
openai/whisper-smallDataset used to train akhooli/whisper-small-ar2
Evaluation results
- Wer on mozilla-foundation/common_voice_17_0 arself-reported0.764