Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

wav2vec2-korean-v3 – AI Model by Hyuk | AlphaNeural AI

You can deploy this model and start earning money today!

Hyuk/
wav2vec2-korean-v3

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-korean-v3

This model is a fine-tuned version of Hyuk/wav2vec2-korean-v3 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9860
eval_wer: 0.3797
eval_runtime: 56.5559
eval_samples_per_second: 10.167
eval_steps_per_second: 1.273
epoch: 9.73
step: 12300

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3