kavyamanohar/whisper-medium-or-exp1-ct2-fp16

whisper-medium-or-exp1

This model is a fine-tuned version of kavyamanohar/AI4B-Indicwhisper-or on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1437
• Wer: 40.7851

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-07
• train_batch_size: 32
• eval_batch_size: 64
• 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: 100
• training_steps: 600
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3643	2.0533	100	0.2478	41.7376
0.1421	5.05	200	0.1664	41.3913
0.1	8.0467	300	0.1519	41.1459
0.0848	11.0433	400	0.1463	40.8573
0.0763	14.04	500	0.1444	40.8140
0.0726	17.0367	600	0.1437	40.7851

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.0+cu126
• Datasets 3.5.1
• Tokenizers 0.21.1