sts_roberta-large_lr1e-05_wd1e-03_ep7_ckpt

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sts_roberta-large_lr1e-05_wd1e-03_ep7_ckpt

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: 0.3621
• Mse: 0.3621
• Mae: 0.4438
• R2: 0.8342

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: 1e-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: 7

Training results

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.0
• Tokenizers 0.13.3