Yeobin/chimsuja_3ep

whisper-chimsuja

This model is a fine-tuned version of openai/whisper-base on the potatoSeop/chimsuja_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.3795
• Cer: 12.0513

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
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.913	0.4	50	0.4665	14.4249
0.4203	0.79	100	0.4156	18.1852
0.343	1.19	150	0.3972	13.9544
0.2746	1.59	200	0.3891	13.2048
0.2838	1.98	250	0.3827	13.8794
0.2153	2.38	300	0.3808	12.0721
0.2035	2.78	350	0.3795	12.0513

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0