metadata

license: mit
base_model: surrey-nlp/roberta-large-finetuned-abbr
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: roberta-large-finetuned-abbr-Epoch18
    results: []

roberta-large-finetuned-abbr-Epoch18

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: 0.1712
Precision: 0.9881
Recall: 0.9834
F1: 0.9857
Accuracy: 0.9836

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
lr_scheduler_type: linear
num_epochs: 18

Training results

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2