This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.1935
Precision: 0.9843
Recall: 0.9779
F1: 0.9811
Accuracy: 0.9786
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
