---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_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_xlm_roberta_base_finetuned

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6931
- F1: 0.53

## 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  | 0.6932          | 0.468 |
| 0.6972        | 2.0   | 500  | 0.6931          | 0.498 |
| 0.6972        | 3.0   | 750  | 0.6932          | 0.474 |
| 0.695         | 4.0   | 1000 | 0.6931          | 0.486 |
| 0.695         | 5.0   | 1250 | 0.6931          | 0.514 |
| 0.6963        | 6.0   | 1500 | 0.6931          | 0.538 |
| 0.6963        | 7.0   | 1750 | 0.6931          | 0.53  |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1