whisper-small.en

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0244
• Wer: 2.5393

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: 5e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1861	4.15	500	0.1216	4.5546
0.028	8.31	1000	0.0244	2.5393

Framework versions

• Transformers 4.35.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.15.2