---
license: mit
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasif-muchocine-roberta
  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. -->

# clasif-muchocine-roberta

This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5146
- Accuracy: 0.3394

## Model description

This model has been made by someone who does NOT understand coding.

## Intended uses & limitations

It was made during training, it should not be used.

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 388  | 1.5140          | 0.3394   |
| 1.5524        | 2.0   | 776  | 1.5132          | 0.3394   |
| 1.5336        | 3.0   | 1164 | 1.5146          | 0.3394   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2