---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: relation_extraction_bert_base_uncased
  results: []
datasets:
- sem_eval_2010_task_8
language:
- en
library_name: transformers
pipeline_tag: text-classification
---

<!-- 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. -->

# relation_extraction_bert_base_uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on [sem_eval_2010_task_8](https://huggingface.co/datasets/sem_eval_2010_task_8).
It achieves the following results on the evaluation set:
- Loss: 0.9300
- F1: 0.8616

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.2511        | 1.0   | 107  | 0.6098          | 0.7907 |
| 0.437         | 2.0   | 214  | 0.5167          | 0.8453 |
| 0.1921        | 3.0   | 321  | 0.5446          | 0.8553 |
| 0.0795        | 4.0   | 428  | 0.7041          | 0.8527 |
| 0.0334        | 5.0   | 535  | 0.7774          | 0.8568 |
| 0.0124        | 6.0   | 642  | 0.8086          | 0.8490 |
| 0.0056        | 7.0   | 749  | 0.8615          | 0.8601 |
| 0.003         | 8.0   | 856  | 0.9246          | 0.8614 |
| 0.0014        | 9.0   | 963  | 0.9300          | 0.8616 |
| 0.0011        | 10.0  | 1070 | 0.9421          | 0.8613 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0