KOYA Dhivehi Whisper Medium
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 13 + Shaafiu dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1756
- eval_wer_ortho: 48.9192
- eval_wer: 8.3095
- eval_runtime: 837.3987
- eval_samples_per_second: 2.645
- eval_steps_per_second: 0.331
- epoch: 2.5840
- step: 2000
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 200
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1