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camember_jb

This model is a fine-tuned version of Jean-Baptiste/camembert-ner on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1450
  • eval_overall_precision: 0.7188
  • eval_overall_recall: 0.7287
  • eval_overall_f1: 0.7238
  • eval_overall_accuracy: 0.9703
  • eval_HumanProd_f1: 0.1961
  • eval_LOC_f1: 0.7492
  • eval_ORG_f1: 0.4609
  • eval_PER_f1: 0.7763
  • eval_runtime: 124.2883
  • eval_samples_per_second: 19.704
  • eval_steps_per_second: 1.239
  • epoch: 2.0
  • step: 1226

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

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cpu
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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