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Analisis-sentimientos-XLM-Roberta-2025-II
raulgdp/Analisis-sentimientos-XLM-Roberta-2025-II
Analisis-sentimientos-XLM-Roberta-2025-II 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 25, 2025
- SHA
- 3d4cbe31
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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. -->
Analisis-sentimientos-XLM-Roberta-2025-II
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0905
- F1-score: 0.1878
- Accuracy: 0.3923
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score | Accuracy |
|---|---|---|---|---|---|
| 1.109 | 1.0 | 481 | 1.0961 | 0.1606 | 0.3174 |
| 1.1003 | 2.0 | 962 | 1.0940 | 0.1878 | 0.3923 |
| 1.1034 | 3.0 | 1443 | 1.0955 | 0.1878 | 0.3923 |
| 1.0983 | 4.0 | 1924 | 1.0934 | 0.1878 | 0.3923 |
| 1.0958 | 5.0 | 2405 | 1.0907 | 0.1878 | 0.3923 |
| 1.0964 | 6.0 | 2886 | 1.0905 | 0.1878 | 0.3923 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 24, 2025
- Updated
- Oct 25, 2025