---
license: mit
base_model: Ariffiq99/e_care_xlm_roberta_large_finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_E_CARE_xlm_roberta_large_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_large_finetuned

This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/e_care_xlm_roberta_large_finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6533
- F1: 0.82

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 63   | 0.4427          | 0.796  |
| No log        | 2.0   | 126  | 0.3930          | 0.8140 |
| No log        | 3.0   | 189  | 0.3833          | 0.83   |
| No log        | 4.0   | 252  | 0.4824          | 0.806  |
| No log        | 5.0   | 315  | 0.4836          | 0.82   |
| No log        | 6.0   | 378  | 0.5445          | 0.8140 |
| No log        | 7.0   | 441  | 0.5651          | 0.816  |
| 0.2666        | 8.0   | 504  | 0.5990          | 0.822  |
| 0.2666        | 9.0   | 567  | 0.6457          | 0.826  |
| 0.2666        | 10.0  | 630  | 0.6533          | 0.82   |


### Framework versions

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