Jungwonchang/whisper_finetune_ksponspeech_partial_40epoch

Whisper large-v2, KsponSpeech Partial 10 epochs

This model is a fine-tuned version of openai/whisper-large-v2 on the KsponSpeech dataset. It achieves the following results on the evaluation set:

• Loss: 0.0194
• Wer: 25.7141

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2225	1.15	100	0.1394	27.9769
0.0507	3.11	200	0.0449	14.9640
0.0114	5.07	300	0.0194	25.7141

Framework versions

• Transformers 4.31.0
• Pytorch 1.12.1+cu116
• Datasets 2.14.0
• Tokenizers 0.12.1