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xlm-roberta-sentiment-tweets-16bs
MiguelTami/xlm-roberta-sentiment-tweets-16bs
xlm-roberta-sentiment-tweets-16bs is a text classification model from MiguelTami. 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 19, 2025
- Updated
- Nov 20, 2025
- SHA
- 2006eab6
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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. -->
xlm-roberta-sentiment-tweets-16bs
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: 0.6598
- Accuracy: 0.7233
- Precision: 0.7181
- Recall: 0.7155
- F1: 0.7119
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9839 | 1.0 | 182 | 0.7296 | 0.6881 | 0.6789 | 0.6883 | 0.6793 |
| 0.7351 | 2.0 | 364 | 0.6598 | 0.7233 | 0.7181 | 0.7155 | 0.7119 |
| 0.613 | 3.0 | 546 | 0.6677 | 0.7143 | 0.7039 | 0.7105 | 0.7048 |
| 0.5346 | 4.0 | 728 | 0.6830 | 0.7143 | 0.7058 | 0.7089 | 0.7043 |
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
- mit
- Created
- Nov 19, 2025
- Updated
- Nov 20, 2025