---
license: mit
tags:
- generated_from_trainer
base_model: makhataei/xlm-roberta-large
model-index:
- name: xlm-roberta-large
  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. -->

# xlm-roberta-large

This model is a fine-tuned version of [makhataei/xlm-roberta-large](https://huggingface.co/makhataei/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1503

## 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-06
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0416        | 1.0   | 202  | 6.9265          |
| 0.0306        | 2.0   | 404  | 7.2318          |
| 0.0272        | 3.0   | 606  | 7.4132          |
| 0.0776        | 4.0   | 808  | 7.3535          |
| 0.2776        | 5.0   | 1010 | 7.1503          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2