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DSC_xlm-roberta-base_finetuned
Kuongan/DSC_xlm-roberta-base_finetuned
DSC_xlm-roberta-base_finetuned is a text classification model from Kuongan. 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
- Sep 22, 2025
- Updated
- Sep 22, 2025
- SHA
- 875c1b11
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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. -->
DSC_xlm-roberta-base_finetuned
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7048
- Accuracy: 0.7764
- F1 Macro: 0.7762
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: 32
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 1.1013 | 1.0 | 175 | 1.0975 | 0.35 | 0.1728 |
| 0.7951 | 2.0 | 350 | 0.7609 | 0.7086 | 0.7081 |
| 0.629 | 3.0 | 525 | 0.6589 | 0.765 | 0.7666 |
| 0.5435 | 4.0 | 700 | 0.6759 | 0.7586 | 0.7602 |
| 0.4905 | 5.0 | 875 | 0.7048 | 0.7764 | 0.7762 |
| 0.4219 | 6.0 | 1050 | 0.7526 | 0.7521 | 0.7537 |
| 0.3399 | 7.0 | 1225 | 0.7930 | 0.7536 | 0.7543 |
| 0.2671 | 8.0 | 1400 | 0.8626 | 0.7464 | 0.7474 |
| 0.2384 | 9.0 | 1575 | 0.9770 | 0.755 | 0.7561 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 22, 2025
- Updated
- Sep 22, 2025