whisper-small-en

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2983
• Wer: 11.2082

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1453	1.39	1000	0.2532	11.7545
0.0633	2.78	2000	0.2609	11.8389
0.0046	4.17	3000	0.2871	11.3473
0.0021	5.56	4000	0.2983	11.2082

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.1