whisper-small-id-finetune

This model is a fine-tuned version of anggiatm/whisper-small-id on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1926
• Wer: 8.7727

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.0065	6.0606	1000	0.1839	9.0201
0.0008	12.1212	2000	0.1849	8.3994
0.0005	18.1818	3000	0.1904	8.7634
0.0004	24.2424	4000	0.1926	8.7727

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1