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jplu-wikiann

This model is a fine-tuned version of jplu/tf-camembert-base on the wikiann dataset. It achieves the following results on the evaluation set:

  • precision: 0.8980
  • recall: 0.9097
  • f1: 0.9038
  • accuracy: 0.9464

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:

  • num_train_epochs: 5
  • train_batch_size: 16
  • eval_batch_size: 32
  • learning_rate: 2e-05
  • weight_decay_rate: 0.01
  • num_warmup_steps: 0
  • fp16: True

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.0
  • Tokenizers 0.10.3
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Dataset used to train BillelBenoudjit/jplu-wikiann

Evaluation results