This model is a fine-tuned version of Goader/liberta-large on the universal_dependencies dataset.
It achieves the following results on the evaluation set:
Loss: 0.2970
Precision: 0.7918
Recall: 0.7643
F1: 0.7715
Accuracy: 0.8942
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
