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xlmr_mvp_upd
n1kg0r/xlmr_mvp_upd
xlmr_mvp_upd is a text classification model from n1kg0r. 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 9, 2025
- Updated
- Nov 9, 2025
- SHA
- da7caf40
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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. -->
xlmr_mvp_upd
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: 1.1200
- Mse: 1.1200
- Rmse: 1.0583
- Mae: 0.8474
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: 8
- eval_batch_size: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae |
|---|---|---|---|---|---|---|
| 2.5917 | 1.0 | 114 | 2.7482 | 2.7482 | 1.6578 | 1.3505 |
| 1.3015 | 2.0 | 228 | 1.3910 | 1.3910 | 1.1794 | 0.9742 |
| 0.8662 | 3.0 | 342 | 1.1200 | 1.1200 | 1.0583 | 0.8474 |
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 9, 2025
- Updated
- Nov 9, 2025