This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_9_0 id dataset. It achieves the following results on the evaluation set:

Loss: 0.2449
Wer: 11.9669

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: 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
0.2878	0.72	1000	0.2612	14.8930
0.1133	1.43	2000	0.2420	12.9101
0.0512	2.15	3000	0.2399	12.2107
0.0389	2.86	4000	0.2449	11.9669
0.0161	3.58	5000	0.2567	12.0037

Framework versions

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

TheRains/cv9-special-batch8-small-concat-Fleur-Norm

Whisper Small Indonesian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TheRains/
cv9-special-batch8-small-concat-Fleur-Norm