Edit model card

sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep7_ckpt

This model is a fine-tuned version of ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3 on the klue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3202
  • Mse: 0.3202
  • Mae: 0.4109
  • R2: 0.8534

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

Training Loss Epoch Step Validation Loss Mse Mae R2
1.0857 1.0 183 0.4208 0.4208 0.4787 0.8073
0.1397 2.0 366 0.3135 0.3135 0.4191 0.8565
0.0989 3.0 549 0.3468 0.3468 0.4261 0.8412
0.0757 4.0 732 0.3006 0.3006 0.3959 0.8623
0.0601 5.0 915 0.4034 0.4034 0.4669 0.8153
0.0502 6.0 1098 0.3357 0.3357 0.4221 0.8463
0.0429 7.0 1281 0.3202 0.3202 0.4109 0.8534

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.0
  • Tokenizers 0.13.3
Downloads last month
4

Finetuned from

Dataset used to train ys7yoo/sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep7_ckpt