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xlm-roberta-sentiment-es-bs16
dScire/xlm-roberta-sentiment-es-bs16
xlm-roberta-sentiment-es-bs16 is a text classification model from dScire. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025
- SHA
- 9094866c
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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. -->
dScire/xlm-roberta-sentiment-es-bs16
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: 0.8090
- Accuracy: 0.6868
- Precision: 0.6774
- Recall: 0.6832
- F1: 0.6788
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 121 | 1.0911 | 0.3985 | 0.6430 | 0.3413 | 0.2089 |
| No log | 2.0 | 242 | 1.0644 | 0.3944 | 0.4645 | 0.3357 | 0.1930 |
| No log | 3.0 | 363 | 0.8220 | 0.6431 | 0.6328 | 0.6359 | 0.6267 |
| No log | 4.0 | 484 | 0.8178 | 0.6618 | 0.6506 | 0.6563 | 0.6367 |
| 0.9714 | 5.0 | 605 | 0.7570 | 0.6743 | 0.6687 | 0.6758 | 0.6686 |
| 0.9714 | 6.0 | 726 | 0.7964 | 0.6837 | 0.6768 | 0.6791 | 0.6627 |
| 0.9714 | 7.0 | 847 | 0.7891 | 0.6774 | 0.6701 | 0.6776 | 0.6718 |
| 0.9714 | 8.0 | 968 | 0.8090 | 0.6868 | 0.6774 | 0.6832 | 0.6788 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- es
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025