This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset particularly Tamil. It achieves the following results on the evaluation set:

Loss: 0.3688
Wer: 60.6815

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.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: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3895	0.3731	50	0.4494	69.3316
0.3274	0.7463	100	0.4134	65.3997
0.2211	1.1194	150	0.3793	63.5649
0.1942	1.4925	200	0.3688	60.6815

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

karthigrj/whisper-small-ta-test

Whisper Small Ta - Handlin

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

karthigrj/
whisper-small-ta-test