whisper-small-dialect-classifier
This model is a fine-tuned version of yaygomii/whisper-small-ta-fyp on the Tamil-Speech-Dialect-Corpus-Shuffled-Split dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1462
- eval_accuracy: 0.9713
- eval_runtime: 37.5749
- eval_samples_per_second: 28.796
- eval_steps_per_second: 1.81
- epoch: 10.0
- step: 5410
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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