whisper-small-indian_eng

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

• Loss: 0.7401
• Wer: 16.8539

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: 4
• 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: 25
• training_steps: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5273	10.0	50	1.0422	15.7303
0.1704	20.0	100	0.7306	16.8539
0.0004	30.0	150	0.7250	15.7303
0.0003	40.0	200	0.7401	16.8539

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.0.0
• Datasets 2.16.1
• Tokenizers 0.15.0