Zarnabh/whisper-small-ps

Whisper small Ps - ZFA

This model is a fine-tuned version of openai/whisper-small on the Common Voice 20.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7437

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-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
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2314	0.7418	500	0.8094
0.1647	1.4837	1000	0.7804
0.0946	2.2255	1500	0.7939
0.0309	2.9674	2000	0.7437

Framework versions

• Transformers 4.56.2
• Pytorch 2.7.0+cu126
• Datasets 4.1.1
• Tokenizers 0.22.0