whisper-large-v3-ko-en – AI Model by gcasey2 | AlphaNeural AI

You can deploy this model and start earning money today!

gcasey2/
whisper-large-v3-ko-en

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v3

endpoints_compatible

Views

No views yet

Whisper Large Korean/English

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8019
Wer: 198.2263

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
lr_scheduler_warmup_steps: 773
training_steps: 7728
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5546	1.0	773	0.5308	240.1463
0.3284	2.0	1546	0.5160	133.6395
0.176	3.0	2319	0.5582	264.5033
0.0977	4.0	3092	0.6110	155.6417
0.065	5.0	3865	0.6577	194.4118
0.0298	6.0	4638	0.7021	235.0691
0.0109	7.0	5411	0.7408	158.8282
0.0069	8.0	6184	0.7550	201.9574
0.0057	9.0	6957	0.8019	198.2263

Framework versions

Transformers 4.37.2
Pytorch 2.0.1
Datasets 2.17.0
Tokenizers 0.15.2