whisper-small-si-9

This model is a fine-tuned version of irudachirath/whisper-small-si-8 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0783
• Wer: 33.4980

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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
0.0442	1.0799	1000	0.0615	32.3474
0.0228	2.1598	2000	0.0675	32.5100
0.0121	3.2397	3000	0.0751	33.2479
0.0087	4.3197	4000	0.0783	33.4980

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.0+cu118
• Datasets 3.5.1
• Tokenizers 0.21.1