---
base_model: xlm-roberta-base
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-qlora-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. -->

# xlm-roberta-qlora-finetuned

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2168

## 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: 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 3.1426          |
| No log        | 2.0   | 6    | 3.1473          |
| No log        | 3.0   | 9    | 3.1535          |
| No log        | 4.0   | 12   | 3.1582          |
| No log        | 5.0   | 15   | 3.1633          |
| No log        | 6.0   | 18   | 3.1676          |
| No log        | 7.0   | 21   | 3.1727          |
| No log        | 8.0   | 24   | 3.1766          |
| No log        | 9.0   | 27   | 3.1809          |
| No log        | 10.0  | 30   | 3.1840          |
| No log        | 11.0  | 33   | 3.1871          |
| No log        | 12.0  | 36   | 3.1902          |
| No log        | 13.0  | 39   | 3.1930          |
| No log        | 14.0  | 42   | 3.1957          |
| No log        | 15.0  | 45   | 3.1973          |
| No log        | 16.0  | 48   | 3.1996          |
| No log        | 17.0  | 51   | 3.2023          |
| No log        | 18.0  | 54   | 3.2047          |
| No log        | 19.0  | 57   | 3.2070          |
| No log        | 20.0  | 60   | 3.2094          |
| No log        | 21.0  | 63   | 3.2102          |
| No log        | 22.0  | 66   | 3.2121          |
| No log        | 23.0  | 69   | 3.2129          |
| No log        | 24.0  | 72   | 3.2141          |
| No log        | 25.0  | 75   | 3.2145          |
| No log        | 26.0  | 78   | 3.2160          |
| No log        | 27.0  | 81   | 3.2160          |
| No log        | 28.0  | 84   | 3.2168          |
| No log        | 29.0  | 87   | 3.2168          |
| No log        | 30.0  | 90   | 3.2168          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1