nli_sts_roberta_large_lr1e_05_wd1e_03_ep5_lr1e-05_wd1e-03_ep5_ckpt

This model is a fine-tuned version of ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep5 on the klue dataset. It achieves the following results on the evaluation set:

• Loss: 0.4971
• Accuracy: 0.8987
• F1: 0.8985

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5471	1.0	391	0.3522	0.876	0.8756
0.2379	2.0	782	0.3345	0.8983	0.8981
0.1215	3.0	1173	0.3708	0.8997	0.8995
0.0661	4.0	1564	0.4734	0.896	0.8958
0.0407	5.0	1955	0.4971	0.8987	0.8985

Framework versions

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