againeureka/klue_roberta_base_retrained-finetuned-mnli

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kluerobertabase_retrained-finetuned-mnli

This model is a fine-tuned version of againeureka/klue_roberta_base_retrained-finetuned-mnli on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3463
• —eval_accuracy: {'accuracy': 0.9350419796730004}
• —eval_f1: {'f1': 0.9056567703321187}
• —eval_runtime: 4.236
• —evalsamplesper_second: 534.232
• —evalstepsper_second: 33.522
• —step: 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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu117
• —Datasets 2.12.0
• —Tokenizers 0.13.3