whisper-small_child50K_timeStretch_stepLR

This model is a fine-tuned version of openai/whisper-small on the child-50k dataset. It achieves the following results on the evaluation set:

• Loss: 0.0201
• Wer: 2.1061
• Cer: 0.8189

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: 1.25e-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: 500
• training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1004	0.18	500	0.0796	9.5440	4.0921
0.0846	0.36	1000	0.0453	5.3319	2.3843
0.0729	0.53	1500	0.0355	4.2849	1.7311
0.0486	0.71	2000	0.0284	2.8701	1.2241
0.045	0.89	2500	0.0261	3.6220	2.6581
0.0206	1.07	3000	0.0207	2.0616	0.8263
0.0264	1.24	3500	0.0219	2.0091	0.8275
0.0304	1.42	4000	0.0205	1.7827	0.7207
0.0224	1.6	4500	0.0233	2.3527	0.9527
0.0215	1.78	5000	0.0201	2.1061	0.8189

Framework versions

• Transformers 4.34.1
• Pytorch 1.12.1
• Datasets 2.14.5
• Tokenizers 0.14.1