metadata
library_name: transformers
base_model: cardiffnlp/twitter-xlm-roberta-base-hate-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: MultiPRIDE-DualEncoder-LPFT-es
results: []
MultiPRIDE-DualEncoder-LPFT-es
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-hate-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4688
- Accuracy: 0.8030
- F1: 0.5667
- Precision: 0.425
- Recall: 0.85
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6778 | 1.0 | 77 | 0.5634 | 0.8030 | 0.5 | 0.4062 | 0.65 |
| 0.6517 | 2.0 | 154 | 0.5011 | 0.7273 | 0.4706 | 0.3333 | 0.8 |
| 0.6283 | 3.0 | 231 | 0.5121 | 0.7727 | 0.5312 | 0.3864 | 0.85 |
| 0.6041 | 4.0 | 308 | 0.4802 | 0.8182 | 0.5862 | 0.4474 | 0.85 |
| 0.6153 | 5.0 | 385 | 0.4840 | 0.7879 | 0.5484 | 0.4048 | 0.85 |
| 0.5638 | 6.0 | 462 | 0.4761 | 0.7803 | 0.5397 | 0.3953 | 0.85 |
| 0.5421 | 7.0 | 539 | 0.4688 | 0.8030 | 0.5667 | 0.425 | 0.85 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1