Whisper Medium Telugu - Polapragada Yashwant
This model is a fine-tuned version of openai/whisper-medium on the telugu-asr-corpus dataset.
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 52
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3