Article_250v0_NER_Model_3Epochs_UNAUGMENTED

This model is a fine-tuned version of bert-base-cased on the article250v0_wikigold_split dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3397
  • Precision: 0.316
  • Recall: 0.2984
  • F1: 0.3070
  • Accuracy: 0.8677

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 28 0.5344 0.1336 0.0183 0.0323 0.7903
No log 2.0 56 0.3736 0.2753 0.2221 0.2458 0.8528
No log 3.0 84 0.3397 0.316 0.2984 0.3070 0.8677

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.11.6
Downloads last month
20
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results