arun100/whisper-base-id-2

Whisper Base Indonesian

This model is a fine-tuned version of arun100/whisper-base-id-1 on the google/fleurs id_id dataset. It achieves the following results on the evaluation set:

• Loss: 0.5254
• Wer: 26.7478

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: 5e-07
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3799	45.0	500	0.5510	28.5103
0.1679	90.0	1000	0.5254	26.7478
0.0785	136.0	1500	0.5336	27.1386
0.0408	181.0	2000	0.5439	27.1755
0.0266	227.0	2500	0.5513	27.0354
0.02	272.0	3000	0.5569	28.0826
0.0159	318.0	3500	0.5612	28.5767
0.0136	363.0	4000	0.5645	30.1254
0.0124	409.0	4500	0.5667	28.7611
0.012	454.0	5000	0.5674	28.7021

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.16.2.dev0
• Tokenizers 0.15.0