whisper_checkpoints6

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

• Loss: 0.2877
• Wer: 23.6973

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: 24
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.009	2.5510	1000	0.0302	0.0380
0.1874	6.3291	2000	0.2390	34.0874
0.111	9.4937	3000	0.2581	29.7236
0.0599	12.6582	4000	0.2877	23.6973

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0