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LLamA-Generator-amharic-QA-model
Desalegnn/LLamA-Generator-amharic-QA-model
LLamA-Generator-amharic-QA-model 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
- 604bcc04
Try a prompt
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. -->
LLamA-Generator-amharic-QA-model
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: 1.3014
- Start Acc: 0.7741
- End Acc: 0.6862
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 |
|---|---|---|---|---|---|
| 1.1146 | 1.0 | 472 | 1.0642 | 0.7582 | 0.6935 |
| 0.7413 | 2.0 | 944 | 1.1165 | 0.7839 | 0.7009 |
| 0.3187 | 3.0 | 1416 | 1.3014 | 0.7741 | 0.6862 |
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