---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
  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-base-finetuned-panx-de-fr

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: 0.8299
- F1: 0.5812

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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     |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 1.0225        | 1.0   | 17160  | 0.8581          | 0.2009 |
| 0.8737        | 2.0   | 34320  | 0.9759          | 0.2485 |
| 0.7939        | 3.0   | 51480  | 0.8271          | 0.3923 |
| 0.7049        | 4.0   | 68640  | 0.8624          | 0.4401 |
| 0.6224        | 5.0   | 85800  | 0.7628          | 0.5075 |
| 0.5286        | 6.0   | 102960 | 0.7342          | 0.5185 |
| 0.4555        | 7.0   | 120120 | 0.7734          | 0.5370 |
| 0.3873        | 8.0   | 137280 | 0.7164          | 0.5646 |
| 0.3218        | 9.0   | 154440 | 0.8536          | 0.5756 |
| 0.2721        | 10.0  | 171600 | 0.8299          | 0.5812 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.11.0
- Datasets 2.4.0
- Tokenizers 0.12.1