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bert-finetuned-ner4

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metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
datasets:
  - conll2003
model-index:
  - name: bert-finetuned-ner4
    results: []

bert-finetuned-ner4

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

  • eval_loss: 0.0775
  • eval_precision: 0.9251
  • eval_recall: 0.9460
  • eval_f1: 0.9354
  • eval_accuracy: 0.9841
  • eval_runtime: 9.2322
  • eval_samples_per_second: 352.028
  • eval_steps_per_second: 44.085
  • epoch: 1.0
  • step: 1756

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

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1