---
library_name: transformers
base_model: FacebookAI/xlm-roberta-large-finetuned-conll02-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 8c9c7da340e2d29412f6d4d2edf61526
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 8c9c7da340e2d29412f6d4d2edf61526

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large-finetuned-conll02-spanish](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll02-spanish) on the contemmcm/hate-speech-and-offensive-language dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6807
- Data Size: 1.0
- Epoch Runtime: 106.9286
- Accuracy: 0.7672
- F1 Macro: 0.2894

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
| No log        | 0     | 0    | 0.8513          | 0         | 7.5714        | 0.7666   | 0.2901   |
| No log        | 1     | 619  | 0.7465          | 0.0078    | 8.5869        | 0.7672   | 0.2894   |
| No log        | 2     | 1238 | 0.6772          | 0.0156    | 10.2448       | 0.7672   | 0.2894   |
| 0.016         | 3     | 1857 | 0.7231          | 0.0312    | 12.5154       | 0.8433   | 0.5092   |
| 0.016         | 4     | 2476 | 0.4619          | 0.0625    | 15.7105       | 0.8807   | 0.5812   |
| 0.4457        | 5     | 3095 | 0.3738          | 0.125     | 22.7781       | 0.8914   | 0.5927   |
| 0.0506        | 6     | 3714 | 0.5484          | 0.25      | 35.3805       | 0.7672   | 0.2894   |
| 0.4147        | 7     | 4333 | 0.3867          | 0.5       | 60.3998       | 0.8860   | 0.5871   |
| 0.6808        | 8.0   | 4952 | 0.6804          | 1.0       | 105.9201      | 0.7672   | 0.2894   |
| 0.6484        | 9.0   | 5571 | 0.6807          | 1.0       | 106.9286      | 0.7672   | 0.2894   |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1