whisper-small-ko-Yspeed

This model is a fine-tuned version of openai/whisper-small on the aihub elder over 70 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3415
• Cer: 8.3071

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.362	0.3	100	0.3138	8.5089
0.283	0.59	200	0.3211	9.1438
0.2666	0.89	300	0.3264	9.4167
0.1077	1.19	400	0.3124	8.9124
0.1022	1.48	500	0.3241	9.0666
0.0893	1.78	600	0.3141	8.4555
0.0314	2.07	700	0.3244	8.3665
0.0305	2.37	800	0.3339	8.6394
0.0347	2.67	900	0.3289	8.8412
0.0277	2.96	1000	0.3386	10.1288
0.0106	3.26	1100	0.3433	8.7284
0.01	3.56	1200	0.3405	8.3902
0.0107	3.85	1300	0.3424	9.2031
0.0041	4.15	1400	0.3370	8.4139
0.0048	4.44	1500	0.3408	8.4080
0.0031	4.74	1600	0.3415	8.3071

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3