whisper-small-tamil

This model is a fine-tuned version of openai/whisper-small on the google/fleurs dataset for Tamil. It achieves the following results on the evaluation set:

• Loss: 0.42
• Wer: 15.02

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0882	2.27	500	0.2674	16.7354
0.0026	11.76	1000	0.3508	15.3720
0.0012	17.64	1500	0.3920	15.6156
0.0009	23.53	2000	0.4076	15.4284
0.0002	29.41	2500	0.4268	15.0215

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2