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

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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

Framework versions

• Transformers 4.44.1
• Pytorch 2.1.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1