Viraj008/whisper-small-mr_v3

Whisper Small MR v3 - Viraj Patil

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4696
• Wer: 43.2485

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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0966	4.0	1000	0.2840	45.4146
0.007	8.0	2000	0.3871	44.2482
0.0005	12.0	3000	0.4502	43.2618
0.0002	16.0	4000	0.4696	43.2485

Framework versions

• Transformers 4.44.0
• Pytorch 2.1.2
• Datasets 2.21.0
• Tokenizers 0.19.1