thiagoms7/whisper-tiny-en

Whisper Tiny en - thiagoms

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

• Loss: 0.7762
• Wer Ortho: 0.3658
• Wer: 0.3654

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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0007	17.86	500	0.6431	0.3578	0.3548
0.0002	35.71	1000	0.7066	0.3664	0.3648
0.0001	53.57	1500	0.7466	0.3683	0.3672
0.0001	71.43	2000	0.7762	0.3658	0.3654

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3