Edit model card

roberta-base-finetuned-sst2

This model was trained from scratch on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3000
  • Accuracy: 0.9450

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.1106 1.0 4210 0.9255 0.3326
0.1497 2.0 8420 0.9369 0.2858
0.1028 3.0 12630 0.3128 0.9335
0.0872 4.0 16840 0.3000 0.9450
0.0571 5.0 21050 0.3378 0.9427

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
Downloads last month
93

Dataset used to train Bhumika/roberta-base-finetuned-sst2

Evaluation results