Edit model card

N_roberta_imdb_padding0model

This model is a fine-tuned version of roberta-base on the imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5120
  • Accuracy: 0.9528

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: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2059 1.0 1563 0.1926 0.9406
0.1663 2.0 3126 0.1661 0.9497
0.1024 3.0 4689 0.2261 0.9503
0.0691 4.0 6252 0.2616 0.9494
0.043 5.0 7815 0.3541 0.9466
0.0431 6.0 9378 0.3030 0.9522
0.0247 7.0 10941 0.3501 0.9482
0.0299 8.0 12504 0.3723 0.9478
0.02 9.0 14067 0.3530 0.9496
0.0204 10.0 15630 0.3836 0.9458
0.0144 11.0 17193 0.3471 0.9505
0.0095 12.0 18756 0.3696 0.9504
0.0087 13.0 20319 0.3877 0.9487
0.0078 14.0 21882 0.4487 0.9504
0.0056 15.0 23445 0.4657 0.9512
0.0032 16.0 25008 0.5004 0.9502
0.0041 17.0 26571 0.4863 0.9525
0.0036 18.0 28134 0.4833 0.9516
0.0 19.0 29697 0.5014 0.9523
0.0001 20.0 31260 0.5120 0.9528

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
0

Finetuned from

Dataset used to train Realgon/N_roberta_imdb_padding0model

Evaluation results