157-elevenlabs

This model is a fine-tuned version of openai/whisper-small on the 157-elevenlabs dataset. It achieves the following results on the evaluation set:

• Loss: 0.4340
• Wer: 25.4420

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0	0	0.6890	41.0325
0.249	1.0	20	0.4580	27.8888
0.0763	2.0	40	0.4196	26.2618
0.0297	3.0	60	0.4145	26.3131
0.0163	4.0	80	0.4242	26.4284
0.0097	5.0	100	0.4272	26.5053
0.0064	6.0	120	0.4280	25.6213
0.0044	7.0	140	0.4317	25.4676
0.0035	8.0	160	0.4329	25.4035
0.003	9.0	180	0.4337	25.3907
0.0028	10.0	200	0.4340	25.4420

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu121
• Datasets 3.4.1
• Tokenizers 0.21.0