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roberta-base-klue-ynat – AI Model by OhHyeonTaek | AlphaNeural AI

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OhHyeonTaek/
roberta-base-klue-ynat

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text-classification

generated_from_trainer

klue/roberta-base

text-embeddings-inference

endpoints_compatible

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roberta-base-klue-ynat

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: 2.2067
Accuracy: 0.0

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

Training results

Framework versions

Transformers 5.14.1
Pytorch 2.13.0+cpu
Datasets 5.0.0
Tokenizers 0.22.2