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