---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_Bert_Base_Finetuned
  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. -->

# KUCI_Bert_Base_Finetuned

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2038
- F1: 0.5172

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.1987        | 1.0   | 5196  | 1.1956          | 0.4711 |
| 1.1506        | 2.0   | 10392 | 1.1539          | 0.4989 |
| 1.0993        | 3.0   | 15588 | 1.1260          | 0.5131 |
| 1.0511        | 4.0   | 20784 | 1.1206          | 0.5172 |
| 1.0058        | 5.0   | 25980 | 1.1180          | 0.5269 |
| 0.9605        | 6.0   | 31176 | 1.1835          | 0.5264 |
| 0.9067        | 7.0   | 36372 | 1.1929          | 0.5235 |
| 0.8862        | 8.0   | 41568 | 1.2050          | 0.5198 |
| 0.8667        | 9.0   | 46764 | 1.2038          | 0.5172 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1