Whisper Small Ml - IMaSC
This model is a fine-tuned version of openai/whisper-small on the ICFOSS Malayalam Speech Corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.0244
- Wer: 10.9459
- Cer: 1.7890
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: 64
- eval_batch_size: 32
- 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
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Evaluation results
- Wer on ICFOSS Malayalam Speech Corpustest set self-reported10.946