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xlm-roberta-sentiment-tweets-8bs
MiguelTami/xlm-roberta-sentiment-tweets-8bs
xlm-roberta-sentiment-tweets-8bs 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
- 8d71660a
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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-8bs
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: 0.6661
- Accuracy: 0.7170
- Precision: 0.7162
- Recall: 0.7051
- F1: 0.7042
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: 8
- eval_batch_size: 8
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0299 | 1.0 | 363 | 0.8129 | 0.6618 | 0.6556 | 0.6661 | 0.6493 |
| 0.7514 | 2.0 | 726 | 0.6661 | 0.7170 | 0.7162 | 0.7051 | 0.7042 |
| 0.6169 | 3.0 | 1089 | 0.7025 | 0.7129 | 0.7058 | 0.7077 | 0.7036 |
| 0.4881 | 4.0 | 1452 | 0.7650 | 0.6991 | 0.7074 | 0.6881 | 0.6934 |
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