This model is a fine-tuned version of bert-base-cased on the conll2003 dataset with a additional CRF. It achieves the following results on the evaluation set:
F1: 0.95
Precision: 0.95
Recall: 0.95
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
