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llm-klue-roberta-base

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: 0.6965
  • Accuracy: 0.845

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: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3001 1.0 1250 0.7603 0.841

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.4.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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