---
license: apache-2.0
base_model: Ariffiq99/e_care_bert_base_uncased_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_e_care_Bert_Based_Uncased_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_e_care_Bert_Based_Uncased_Finetuned

This model is a fine-tuned version of [Ariffiq99/e_care_bert_base_uncased_finetuned](https://huggingface.co/Ariffiq99/e_care_bert_base_uncased_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1213
- F1: 0.5413

## 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.1918        | 1.0   | 5196  | 1.1805          | 0.4805 |
| 1.123         | 2.0   | 10392 | 1.1198          | 0.5135 |
| 1.0667        | 3.0   | 15588 | 1.1035          | 0.5263 |
| 1.0186        | 4.0   | 20784 | 1.0820          | 0.5328 |
| 0.9704        | 5.0   | 25980 | 1.1082          | 0.5380 |
| 0.9257        | 6.0   | 31176 | 1.1212          | 0.5447 |
| 0.9098        | 7.0   | 36372 | 1.1213          | 0.5413 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1