---
license: mit
base_model: Ariffiq99/e_care_xlm_roberta_base_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_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_E_CARE_XLM_roberta_base_finetuned

This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/e_care_xlm_roberta_base_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7353
- F1: 0.67

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1    |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| No log        | 1.0   | 250  | 0.9393          | 0.668 |
| 0.2405        | 2.0   | 500  | 1.1072          | 0.684 |
| 0.2405        | 3.0   | 750  | 1.1488          | 0.648 |
| 0.3938        | 4.0   | 1000 | 0.9665          | 0.652 |
| 0.3938        | 5.0   | 1250 | 1.2431          | 0.654 |
| 0.4987        | 6.0   | 1500 | 1.2893          | 0.674 |
| 0.4987        | 7.0   | 1750 | 1.5097          | 0.68  |
| 0.3532        | 8.0   | 2000 | 1.6731          | 0.664 |
| 0.3532        | 9.0   | 2250 | 1.7344          | 0.664 |
| 0.3011        | 10.0  | 2500 | 1.7353          | 0.67  |


### Framework versions

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