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w2v-bert-2.0-korean-colab-CV16.0 – AI Model by HERIUN | AlphaNeural AI

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HERIUN/
w2v-bert-2.0-korean-colab-CV16.0

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automatic-speech-recognition

generated_from_trainer

common_voice_16_0

facebook/w2v-bert-2.0

endpoints_compatible

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w2v-bert-2.0-korean-colab-CV16.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_0 dataset.

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-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3