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metadata
base_model: klue/roberta-large
tags:
  - generated_from_trainer
datasets:
  - klue
model-index:
  - name: sts_klue_roberta_large_ep1
    results: []

sts_klue_roberta_large_ep1

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: 0.4218
  • Mse: 0.4218
  • Mae: 0.4837
  • R2: 0.8068

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: 1

Training results

Training Loss Epoch Step Validation Loss Mse Mae R2
0.6739 1.0 183 0.4218 0.4218 0.4837 0.8068

Framework versions

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