Downloads · 30 days
5
7% of all-time downloads
xml-roberta-sarcasmo-spanish-2026
raulgdp/xml-roberta-sarcasmo-spanish-2026
xml-roberta-sarcasmo-spanish-2026 is a text classification model from raulgdp. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
73
Public
Parameters
560M
11.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 26, 2026
- Updated
- May 26, 2026
- SHA
- 53f4d8f0
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
xml-roberta-sarcasmo-spanish-2026
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4024
- Accuracy: 0.9361
- Precision: 0.9360
- Recall: 0.9361
- F1: 0.9360
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3613 | 1.0 | 955 | 0.3642 | 0.8743 | 0.8776 | 0.8743 | 0.8718 |
| 0.264 | 2.0 | 1910 | 0.2176 | 0.9217 | 0.9216 | 0.9217 | 0.9214 |
| 0.184 | 3.0 | 2865 | 0.3219 | 0.9322 | 0.9325 | 0.9322 | 0.9318 |
| 0.1421 | 4.0 | 3820 | 0.3517 | 0.9348 | 0.9347 | 0.9348 | 0.9346 |
| 0.0658 | 5.0 | 4775 | 0.4024 | 0.9361 | 0.9360 | 0.9361 | 0.9360 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1+cu118
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 26, 2026
- Updated
- May 26, 2026