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nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt

This model is a fine-tuned version of klue/roberta-large on the klue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3425
  • Accuracy: 0.9027
  • F1: 0.9026

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: 1e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.5725 1.0 391 0.3381 0.8813 0.8811
0.2182 2.0 782 0.3055 0.898 0.8979
0.112 3.0 1173 0.3425 0.9027 0.9026

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.0
  • Tokenizers 0.13.3
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Base model

klue/roberta-large
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Dataset used to train ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt

Evaluation results