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model_PhayaThaiBert

Text Classification

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model_PhayaThaiBert

This model is a fine-tuned version of SuratanBoonpong/Phayathaibert_sentiment_analysis 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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Model size

277M params

Tensor type

F32

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Text Classification

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Base model

SuratanBoonpong/Phayathaibert_sentiment_analysis

Finetuned

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this model

Evaluation results

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