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sentiment-xlmroberta-model
yasminwee/sentiment-xlmroberta-model
sentiment-xlmroberta-model is a text classification model from yasminwee. 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
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- 5fe5b673
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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-xlmroberta-model
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2942
- Accuracy: 0.909
- F1: 0.9094
- Precision: 0.9054
- Recall: 0.9134
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1446 | 1.0 | 1563 | 0.3038 | 0.8888 | 0.8905 | 0.8766 | 0.9050 |
| 0.0999 | 2.0 | 3126 | 0.2631 | 0.9049 | 0.9047 | 0.9068 | 0.9025 |
| 0.0743 | 2.9984 | 4686 | 0.2942 | 0.909 | 0.9094 | 0.9054 | 0.9134 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 18, 2025
- Updated
- May 18, 2025