whisper-medium-ko-zeroth – AI Model by seastar105 | AlphaNeural AI

You can deploy this model and start earning money today!

seastar105/
whisper-medium-ko-zeroth

like

0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

kresnik/zeroth_korean

endpoints_compatible

Views

No views yet

적지 않은 분들이 다운로드하셔서 사용하는 걸로 보입니다. https://huggingface.co/seastar105/whisper-medium-komixv2 에 더 좋은 정확도를 기대 가능한 파인튜닝 모델이 있으므로 이쪽을 추천합니다.

Whisper Medium Korean

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

Loss: 0.0727
Wer: 3.6440
Cer: 1.4840

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-06
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0873	0.72	1000	0.1086	7.7549	2.5597
0.0258	1.44	2000	0.0805	4.5475	1.7588
0.0091	2.16	3000	0.0719	3.7946	1.5664
0.0086	2.88	4000	0.0704	3.5537	1.5232
0.0019	3.59	5000	0.0727	3.6440	1.4840

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0a0+d0d6b1f
Datasets 2.7.1
Tokenizers 0.13.2