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

# COPA_KUCI_e_care_xlm_roberta_base_finetuned

This model is a fine-tuned version of [Ariffiq99/KUCI_e_care_xlm_roberta_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_e_care_xlm_roberta_base_Finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1899
- F1: 0.696

## 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: 4
- eval_batch_size: 4
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| No log        | 1.0   | 250  | 0.6475          | 0.614 |
| 0.6765        | 2.0   | 500  | 0.6445          | 0.632 |
| 0.6765        | 3.0   | 750  | 0.6524          | 0.652 |
| 0.515         | 4.0   | 1000 | 0.9434          | 0.674 |
| 0.515         | 5.0   | 1250 | 0.9342          | 0.68  |
| 0.4231        | 6.0   | 1500 | 1.1175          | 0.69  |
| 0.4231        | 7.0   | 1750 | 1.1899          | 0.696 |


### Framework versions

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