irvingM/whisper-id-finetuned

Whisper Small Id - Fine Tuned - Revised

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3528
• Wer Ortho: 22.8496
• Wer: 18.4708

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.3546	0.7911	250	0.3433	23.8195	18.6421
0.1621	1.5823	500	0.3325	23.2594	18.9171
0.058	2.3734	750	0.3483	23.1274	18.0966
0.0265	3.1646	1000	0.3528	22.8496	18.4708

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1