Melroy/whisperrSmall-marathi

WhisperSmallMarathi - Melroy Pereira

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

• Loss: 0.4587
• Wer: 44.0719

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: 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0596	4.07	1000	0.2856	45.0132
0.0048	8.13	2000	0.3908	44.7489
0.0005	12.2	3000	0.4386	43.8012
0.0002	16.26	4000	0.4587	44.0719

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.1+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0