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afroBERTaphdmodel500mb
msmaje/afroBERTaphdmodel500mb
afroBERTaphdmodel500mb is a machine learning model from msmaje. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 17, 2026
- SHA
- 52adbe8a
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. -->
afroBERTaphdmodel500mb
This model is a fine-tuned version of castorini/afriberta_large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
- Accuracy: 1.0
- F1: 1.0
- Precision: 1.0
- Recall: 1.0
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 2125 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0 | 2.0 | 4250 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0 | 3.0 | 6375 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0 | 4.0 | 8500 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 16, 2026
- Updated
- Feb 17, 2026