---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2441
- F1: 0.8481

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1866        | 0.2   | 375  | 0.2644          | 0.8293 |
| 0.1999        | 0.4   | 750  | 0.2374          | 0.8313 |
| 0.1946        | 0.6   | 1125 | 0.2375          | 0.8300 |
| 0.1868        | 0.8   | 1500 | 0.2280          | 0.8377 |
| 0.1854        | 1.0   | 1875 | 0.2179          | 0.8419 |
| 0.1224        | 1.2   | 2250 | 0.2557          | 0.8426 |
| 0.1261        | 1.4   | 2625 | 0.2493          | 0.8436 |
| 0.1226        | 1.6   | 3000 | 0.2413          | 0.8460 |
| 0.1247        | 1.8   | 3375 | 0.2440          | 0.8469 |
| 0.1192        | 2.0   | 3750 | 0.2441          | 0.8481 |


### Framework versions

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