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sentiment-xlm-roberta
hassen228/sentiment-xlm-roberta
sentiment-xlm-roberta is a text classification model from hassen228. 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 18, 2025
- Updated
- Nov 18, 2025
- SHA
- 9aacdbe9
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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. -->
sentiment-xlm-roberta
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: 1.0890
- Accuracy: 0.3979
- Precision: 0.1326
- Recall: 0.3333
- F1: 0.1898
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.1048 | 1.0 | 1141 | 1.1043 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.1082 | 2.0 | 2282 | 1.0943 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.1037 | 3.0 | 3423 | 1.0956 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.1019 | 4.0 | 4564 | 1.0940 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.1024 | 5.0 | 5705 | 1.0945 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.0966 | 6.0 | 6846 | 1.0933 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.0994 | 7.0 | 7987 | 1.0950 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
| 1.0962 | 8.0 | 9128 | 1.0961 | 0.3819 | 0.1273 | 0.3333 | 0.1842 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 18, 2025
- Updated
- Nov 18, 2025