---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-large-finetuned-abbr-filtered-plod-finetuned-ner

This model is a fine-tuned version of [surrey-nlp/roberta-large-finetuned-abbr-filtered-plod](https://huggingface.co/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