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afroxlmr-amharic-qa
Desalegnn/afroxlmr-amharic-qa
afroxlmr-amharic-qa is a question answering model from Desalegnn. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025
- SHA
- a0f84d8d
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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. -->
afroxlmr-amharic-qa
This model is a fine-tuned version of Davlan/afro-xlmr-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7495
- Start Acc: 0.7705
- End Acc: 0.6899
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: 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: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Start Acc | End Acc |
|---|---|---|---|---|---|
| 0.4258 | 1.0 | 472 | 1.2568 | 0.7705 | 0.6728 |
| 0.4647 | 2.0 | 944 | 1.3590 | 0.7729 | 0.7070 |
| 0.2245 | 3.0 | 1416 | 1.7495 | 0.7705 | 0.6899 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025