This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_17_0 id dataset. It achieves the following results on the evaluation set:

Loss: 0.0574
Wer: 0.0424

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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.132	0.8457	1000	0.0963	0.0747
0.0503	1.6913	2000	0.0664	0.0526
0.023	2.5370	3000	0.0628	0.0727
0.011	3.3827	4000	0.0593	0.0437
0.0033	4.2283	5000	0.0575	0.0407
0.0017	5.0740	6000	0.0574	0.0448
0.0013	5.9197	7000	0.0554	0.0386
0.002	6.7653	8000	0.0555	0.0426
0.0002	7.6110	9000	0.0571	0.0421
0.0005	8.4567	10000	0.0574	0.0424

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Bagus/whisper-medium-common_voice_17_0-id-10000

whisper-medium-common_voice_17_0-id-10000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Bagus/
whisper-medium-common_voice_17_0-id-10000