---
license: apache-2.0
base_model: Ariffiq99/e_care_albert_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_e_care_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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# KUCI_e_care_Albert_Base_Finetuned

This model is a fine-tuned version of [Ariffiq99/e_care_albert_base_finetuned](https://huggingface.co/Ariffiq99/e_care_albert_base_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3212
- F1: 0.3683

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.3365        | 1.0   | 5196  | 1.3307          | 0.3527 |
| 1.3318        | 2.0   | 10392 | 1.3201          | 0.3720 |
| 1.3268        | 3.0   | 15588 | 1.3195          | 0.3625 |
| 1.326         | 4.0   | 20784 | 1.3182          | 0.3594 |
| 1.3204        | 5.0   | 25980 | 1.3159          | 0.3668 |
| 1.3152        | 6.0   | 31176 | 1.3181          | 0.3638 |
| 1.3114        | 7.0   | 36372 | 1.3212          | 0.3683 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1