TheRains/yt-special-batch12-lr6-small

Whisper Small Indonesian

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

• Loss: 0.8224
• Wer: 53.2650

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-06
• train_batch_size: 12
• eval_batch_size: 6
• 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
0.923	0.26	1000	0.9312	66.9412
0.8161	0.52	2000	0.8640	58.5695
0.8542	0.77	3000	0.8355	57.7005
0.8727	1.03	4000	0.8224	53.2650
0.7896	1.29	5000	0.8184	53.5698

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3