This model is a fine-tuned version of xlm-roberta-base on the lltala/e-ner-roberta-base dataset.
It achieves the following results on the evaluation set:
Loss: 0.0690
Loc Precision: 0.6234
Loc Recall: 0.6316
Loc F1: 0.6275
Loc Number: 76
Org Precision: 0.8116
Org Recall: 0.6744
Org F1: 0.7366
Org Number: 562
Per Precision: 0.9737
Per Recall: 1.0
Per F1: 0.9867
Per Number: 74
Overall Precision: 0.8081
Overall Recall: 0.7037
Overall F1: 0.7523
Overall Accuracy: 0.9864
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
