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roberta-base-conll2003-pos

This model is a fine-tuned version of roberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1947
  • Precision: 0.9308
  • Recall: 0.9300
  • F1: 0.9304
  • Accuracy: 0.9524

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: 2

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.617 1.0 878 0.2189 0.9239 0.9210 0.9225 0.9470
0.1667 2.0 1756 0.1947 0.9308 0.9300 0.9304 0.9524

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.14.0.dev20221107
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Dataset used to train sagnikrayc/roberta-base-conll2003-pos

Evaluation results