whisper-hindi-small

This model is a fine-tuned version of vasista22/whisper-hindi-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2106
• Wer: 16.3763

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: 1.75e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0001	50.0	250	0.1925	16.5157
0.0	100.0	500	0.2046	16.2369
0.0	150.0	750	0.2092	16.3763
0.0	200.0	1000	0.2106	16.3763

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1