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videberta-base-VietMed-v3 – AI Model by hungphongtrn | AlphaNeural AI

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hungphongtrn/
videberta-base-VietMed-v3

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token-classification

generated_from_trainer

Fsoft-AIC/videberta-base

autotrain_compatible

endpoints_compatible

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videberta-base-VietMed-v3

This model is a fine-tuned version of Fsoft-AIC/videberta-base on an unknown 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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.13.3