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roberta-economy-classifier
mljn/roberta-economy-classifier
roberta-economy-classifier is a text classification model from mljn. 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 19, 2026
- Updated
- May 19, 2026
- SHA
- 33b564db
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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. -->
roberta-economy-classifier
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4600
- Accuracy: 0.9238
- F1: 0.8623
- Precision: 0.8471
- Recall: 0.8780
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: 16
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4903 | 1.0 | 151 | 0.3469 | 0.8841 | 0.7799 | 0.8052 | 0.7561 |
| 0.3302 | 2.0 | 302 | 0.2909 | 0.9172 | 0.8447 | 0.8608 | 0.8293 |
| 0.2429 | 3.0 | 453 | 0.3731 | 0.9040 | 0.8079 | 0.8841 | 0.7439 |
| 0.2799 | 4.0 | 604 | 0.4371 | 0.9205 | 0.8481 | 0.8816 | 0.8171 |
| 0.2264 | 5.0 | 755 | 0.4598 | 0.9238 | 0.8623 | 0.8471 | 0.8780 |
| 0.0395 | 6.0 | 906 | 0.4709 | 0.9205 | 0.8554 | 0.8452 | 0.8659 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 19, 2026
- Updated
- May 19, 2026