whisperDAR
This model is a fine-tuned version of openai/whisper-small on the 8dretna_daridja dataset. It achieves the following results on the evaluation set:
- Loss: 4.6653
- Wer: 94.2718
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: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.3481 | 0.0107 | 5 | 4.6653 | 94.2718 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for hamzabennz/whisperDAR
Base model
openai/whisper-smallDataset used to train hamzabennz/whisperDAR
Evaluation results
- Wer on 8dretna_daridjaself-reported94.272