Whisper Large Fa
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2511
- Wer: 52.3497
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: 8
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1999 | 0.43 | 1000 | 0.3631 | 55.5243 |
| 0.1391 | 0.86 | 2000 | 0.2965 | 47.4574 |
| 0.0719 | 1.29 | 3000 | 0.2725 | 54.5863 |
| 0.0611 | 1.72 | 4000 | 0.2511 | 52.3497 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
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Model tree for golesheed/whisper-large-v2-fa
Base model
openai/whisper-large-v2