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my_phobert_vsmec – AI Model by llwisd | AlphaNeural AI

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llwisd/
my_phobert_vsmec

like

0

text-classification

generated_from_trainer

vinai/phobert-base

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of vinai/phobert-base on the None 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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1