whisper-small.en

This model is a fine-tuned version of crossdelenna/whisper-small.en on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0004
• Wer: 0.7672

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: 10
• training_steps: 1401
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0047	1.03	400	0.0037	0.9334
0.0033	2.06	800	0.0012	0.7416
0.0011	3.09	1200	0.0004	0.7672

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2