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BERTreach-finetuned-ner

This model is a fine-tuned version of jimregan/BERTreach on the wikiann dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4944
  • Precision: 0.5201
  • Recall: 0.5667
  • F1: 0.5424
  • Accuracy: 0.8366

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 Validation Loss Precision Recall F1 Accuracy
No log 1.0 63 0.7249 0.3645 0.3905 0.3770 0.7584
No log 2.0 126 0.5850 0.4529 0.4948 0.4729 0.8072
No log 3.0 189 0.5192 0.4949 0.5456 0.5190 0.8288
No log 4.0 252 0.5042 0.5208 0.5592 0.5393 0.8348
No log 5.0 315 0.4944 0.5201 0.5667 0.5424 0.8366

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train jimregan/BERTreach-finetuned-ner

Evaluation results