whisper-kk-sp2n-b16-ms1600-s

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

• Loss: 0.2659
• Wer: 274.5556

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
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1600

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9302	0.18	800	0.3010	229.3416
0.83	0.37	1600	0.2659	274.5556

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3