kimsunghoon
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resuluts

Text Classification

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resuluts

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: 2.2667
Accuracy: 0.07

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	2.1156	0.1

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Downloads last month: 8

Safetensors

Model size

111M params

Tensor type

F32

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Inference Examples

Text Classification

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Model tree for kimsunghoon/resuluts

Base model

klue/roberta-base

Finetuned

this model

Evaluation results

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