---
license: mit
base_model: Ariffiq99/KUCI_xlm_roberta_base_Finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_KUCI_xlm_roberta_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. -->

# e_care_KUCI_xlm_roberta_base_finetuned

This model is a fine-tuned version of [Ariffiq99/KUCI_xlm_roberta_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_xlm_roberta_base_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8614
- F1: 0.7342

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6129        | 1.0   | 933  | 0.5311          | 0.7078 |
| 0.4992        | 2.0   | 1866 | 0.5276          | 0.7172 |
| 0.4152        | 3.0   | 2799 | 0.5736          | 0.7168 |
| 0.3398        | 4.0   | 3732 | 0.6502          | 0.7333 |
| 0.2799        | 5.0   | 4665 | 0.6750          | 0.7422 |
| 0.2436        | 6.0   | 5598 | 0.8006          | 0.7337 |
| 0.207         | 7.0   | 6531 | 0.8614          | 0.7342 |


### Framework versions

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