This model is a fine-tuned version of xlm-roberta-large on the uner_all dataset.
The uner_all dataset combines all training datasets in UNER.
It achieves the following results on the evaluation set:
Loss: 0.1180
Precision: 0.8566
Recall: 0.8523
F1: 0.8544
Accuracy: 0.9843
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
