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premodel – AI Model by CSAPS | AlphaNeural AI | AlphaNeural AI

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CSAPS/
premodel

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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premodel

This model is a fine-tuned version of Geotrend/bert-base-th-cased on the lst20 dataset. It achieves the following results on the evaluation set:

Loss: 0.1761
Precision: 0.8534
Recall: 0.8654
F1: 0.8593
Accuracy: 0.9477

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2