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afrisenti-diacritized-baseline
lazymonster/afrisenti-diacritized-baseline
afrisenti-diacritized-baseline is a text classification model from lazymonster. 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 30, 2025
- Updated
- Nov 30, 2025
- SHA
- 2114ead9
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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. -->
afrisenti-diacritized-baseline
This model is a fine-tuned version of Davlan/afro-xlmr-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7616
- Accuracy: 0.7077
- F1 Macro: 0.6821
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 267 | 0.8060 | 0.6330 | 0.5912 |
| 0.8633 | 2.0 | 534 | 0.7603 | 0.6804 | 0.6235 |
| 0.8633 | 3.0 | 801 | 0.7370 | 0.7029 | 0.6772 |
| 0.6275 | 4.0 | 1068 | 0.7322 | 0.7062 | 0.6821 |
| 0.6275 | 5.0 | 1335 | 0.7616 | 0.7077 | 0.6821 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 30, 2025
- Updated
- Nov 30, 2025