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sts_ys7yoo_nli_klue_roberta_large_ep5_ep5

This model is a fine-tuned version of ys7yoo/nli_klue_roberta_large_ep5 on the klue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3389
  • Mse: 0.3389
  • Mae: 0.4252
  • R2: 0.8448

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: 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: 5

Training results

Training Loss Epoch Step Validation Loss Mse Mae R2
0.838 1.0 183 0.6427 0.6427 0.6072 0.7057
0.1578 2.0 366 0.3120 0.3120 0.4220 0.8571
0.1013 3.0 549 0.4612 0.4612 0.5016 0.7888
0.0676 4.0 732 0.2982 0.2982 0.3974 0.8635
0.0436 5.0 915 0.3389 0.3389 0.4252 0.8448

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.0
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train ys7yoo/nli_sts_klue_roberta_large_ep5_ep5