---
license: apache-2.0
base_model: Ariffiq99/KUCI_albert_base_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_KUCI_albert_base_finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e_care_KUCI_albert_base_finetuned

This model is a fine-tuned version of [Ariffiq99/KUCI_albert_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_albert_base_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4966
- F1: 0.7253

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5723        | 1.0   | 933  | 0.5206          | 0.7201 |
| 0.3965        | 2.0   | 1866 | 0.5367          | 0.7422 |
| 0.218         | 3.0   | 2799 | 0.7913          | 0.7337 |
| 0.0863        | 4.0   | 3732 | 1.0507          | 0.7366 |
| 0.0285        | 5.0   | 4665 | 1.3223          | 0.7286 |
| 0.0082        | 6.0   | 5598 | 1.4432          | 0.7248 |
| 0.0029        | 7.0   | 6531 | 1.4966          | 0.7253 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1