indic-whisper-kn-reverse-mft-1-0-1-9

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9063
• Wer: 72.5513
• Cer: 112.8425

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: 0.0002
• train_batch_size: 64
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 56
• training_steps: 140

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.9789	1.0	140	2.9063	72.5513	112.8425

Framework versions

• Transformers 4.51.1
• Pytorch 2.7.1+cu128
• Datasets 3.6.0
• Tokenizers 0.21.4