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xlm-roberta-sentiment-tweets-4bs
MiguelTami/xlm-roberta-sentiment-tweets-4bs
xlm-roberta-sentiment-tweets-4bs 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
- a8efaf9d
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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-4bs
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: 0.8500
- Accuracy: 0.7115
- Precision: 0.7095
- Recall: 0.7052
- F1: 0.7054
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 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 |
|---|---|---|---|---|---|---|---|
| 0.9449 | 1.0 | 725 | 0.7187 | 0.6756 | 0.6660 | 0.6742 | 0.6685 |
| 0.7355 | 2.0 | 1450 | 0.6891 | 0.7005 | 0.6948 | 0.6960 | 0.6949 |
| 0.5763 | 3.0 | 2175 | 0.7554 | 0.7115 | 0.7028 | 0.7088 | 0.7033 |
| 0.4637 | 4.0 | 2900 | 0.8500 | 0.7115 | 0.7095 | 0.7052 | 0.7054 |
| 0.3685 | 5.0 | 3625 | 1.0208 | 0.7067 | 0.7008 | 0.7055 | 0.7026 |
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