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afriberta-ti-hornmt
Bonnief/afriberta-ti-hornmt
afriberta-ti-hornmt is a fill-mask model from Bonnief. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors333 MB · 98%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- f725beba
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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. -->
afriberta-ti-hornmt
This model is a fine-tuned version of castorini/afriberta_small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7774
- Accuracy: 0.3769
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 20
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025