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

# CRAB_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: 0.9537
- F1: 0.7458

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.1248        | 1.0   | 2880  | 0.9637          | 0.7125 |
| 0.9213        | 2.0   | 5760  | 1.1808          | 0.7236 |
| 0.8873        | 3.0   | 8640  | 0.9830          | 0.7389 |
| 0.8347        | 4.0   | 11520 | 0.9327          | 0.7361 |
| 0.8315        | 5.0   | 14400 | 0.9631          | 0.7417 |
| 0.764         | 6.0   | 17280 | 0.9923          | 0.7458 |
| 0.8117        | 7.0   | 20160 | 0.9267          | 0.7458 |
| 0.6704        | 8.0   | 23040 | 0.9537          | 0.7458 |


### Framework versions

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