metadata
license: cc-by-sa-4.0
base_model: surrey-nlp/roberta-large-finetuned-abbr-filtered-plod
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
results: []
roberta-large-finetuned-abbr-filtered-plod-finetuned-ner
This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr-filtered-plod on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4541
- Precision: 0.8911
- Recall: 0.8907
- F1: 0.8909
- Accuracy: 0.8851
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1