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xlm-roberta-base-language-detection-silvanus
rollerhafeezh/xlm-roberta-base-language-detection-silvanus
xlm-roberta-base-language-detection-silvanus is a text classification model from rollerhafeezh. 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
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- fbd42066
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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. -->
xlm-roberta-base-language-detection-silvanus
This model is a fine-tuned version of xlm-roberta-base on the common language and kiviki/SlovakSum datasets. It achieves the following results on the evaluation set:
- Loss: 0.0866
- Accuracy: 0.9868
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.078 | 1.0 | 3188 | 0.1239 | 0.9784 |
| 0.0703 | 2.0 | 6376 | 0.1035 | 0.9830 |
| 0.0375 | 3.0 | 9564 | 0.0866 | 0.9868 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- id, en, es, it, sk
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024