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sentiment-roberta-es-2025-II-2
link2431/sentiment-roberta-es-2025-II-2
sentiment-roberta-es-2025-II-2 is a text classification model from link2431. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025
- SHA
- d0681ecf
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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. -->
sentiment-roberta-es-2025-II-2
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8928
- Accuracy: 0.8933
- Precision: 0.8931
- Recall: 0.8933
- F1: 0.8931
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7586 | 1.0 | 656 | 0.5779 | 0.8826 | 0.8833 | 0.8826 | 0.8818 |
| 0.599 | 2.0 | 1312 | 0.5262 | 0.8780 | 0.8888 | 0.8780 | 0.8787 |
| 0.5761 | 3.0 | 1968 | 0.6202 | 0.8902 | 0.8931 | 0.8902 | 0.8907 |
| 0.3598 | 4.0 | 2624 | 0.5992 | 0.9009 | 0.9012 | 0.9009 | 0.9010 |
| 0.1921 | 5.0 | 3280 | 0.8265 | 0.8872 | 0.8874 | 0.8872 | 0.8866 |
| 0.1519 | 6.0 | 3936 | 0.8928 | 0.8933 | 0.8931 | 0.8933 | 0.8931 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025