---
license: mit
base_model: seddiktrk/xlm-roberta-base-finetuned-panx-39-langs
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-39-langs
  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-39-langs

This model is a fine-tuned version of [seddiktrk/xlm-roberta-base-finetuned-panx-39-langs](https://huggingface.co/seddiktrk/xlm-roberta-base-finetuned-panx-39-langs) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1650
- F1: 0.8856

## 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: 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1912        | 0.12  | 6303  | 0.2009          | 0.8458 |
| 0.1901        | 0.24  | 12606 | 0.1971          | 0.8573 |
| 0.1821        | 0.36  | 18909 | 0.1946          | 0.8612 |
| 0.175         | 0.48  | 25212 | 0.1813          | 0.8671 |
| 0.1688        | 0.6   | 31515 | 0.1770          | 0.8729 |
| 0.1637        | 0.72  | 37818 | 0.1674          | 0.8781 |
| 0.1536        | 0.84  | 44121 | 0.1665          | 0.8822 |
| 0.146         | 0.96  | 50424 | 0.1650          | 0.8856 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1