metadata

library_name: transformers
base_model: klue/roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta-base-klue-ynat-classification-using-hg_api-epoch_2
    results: []

roberta-base-klue-ynat-classification-using-hg_api-epoch_2

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: 0.5332
Accuracy: 0.863

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5932	1.0	1250	0.7241	0.805
0.3366	2.0	2500	0.6045	0.846

Framework versions

Transformers 4.44.1
Pytorch 2.1.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1