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results – AI Model by namjeho | AlphaNeural AI

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namjeho/
results

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text-classification

generated_from_trainer

klue/roberta-base

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4340
Accuracy: 0.855

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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 2.19.0
Tokenizers 0.21.1