Edit model card

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
Downloads last month
11
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ys7yoo/sts_klue_roberta_large_ep1

Base model

klue/roberta-large
Finetuned
(67)
this model

Dataset used to train ys7yoo/sts_klue_roberta_large_ep1