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27NEW_xlm-roberta-large
Inori612/27NEW_xlm-roberta-large
27NEW_xlm-roberta-large is a text classification model from Inori612. 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
- Apr 27, 2026
- Updated
- Apr 27, 2026
- SHA
- 3d9f5302
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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. -->
27NEW_xlm-roberta-large
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9995
- Accuracy: 0.6777
- F1: 0.6777
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 6.5692 | 1.0 | 822 | 1.8840 | 0.6415 | 0.6395 |
| 5.4850 | 2.0 | 1644 | 1.7581 | 0.6740 | 0.6724 |
| 4.5201 | 3.0 | 2466 | 1.8720 | 0.6823 | 0.6810 |
| 3.9165 | 4.0 | 3288 | 1.8683 | 0.6891 | 0.6891 |
| 3.7991 | 5.0 | 4110 | 1.9470 | 0.6894 | 0.6895 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 27, 2026
- Updated
- Apr 27, 2026