freshpearYoon/medium3

whisper_medium

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

• Cer: 15.6625
• Loss: 1.4176
• Wer: 32.4788

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-07
• train_batch_size: 4
• 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: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
1.8819	0.01	100	11.9999	1.5851	29.7754
1.6964	0.02	200	14.6066	1.4982	31.2945
1.6783	0.02	300	14.8315	1.4504	31.7318
1.6238	0.03	400	15.3631	1.4259	32.1490
1.7569	0.04	500	15.6625	1.4176	32.4788

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.15.0
• Tokenizers 0.15.0