---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine-tune-xlm-roberta-PAF-split-headline1
  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. -->

# fine-tune-xlm-roberta-PAF-split-headline1

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0692
- Accuracy: 0.4737

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0874        | 1.0   | 5    | 1.0736          | 0.4737   |
| 1.085         | 2.0   | 10   | 1.0629          | 0.4737   |
| 1.1053        | 3.0   | 15   | 1.0657          | 0.4737   |
| 1.1114        | 4.0   | 20   | 1.0692          | 0.4737   |
| 1.0836        | 5.0   | 25   | 1.0697          | 0.4737   |
| 1.08          | 6.0   | 30   | 1.0692          | 0.4737   |
| 1.0731        | 7.0   | 35   | 1.0692          | 0.4737   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1