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qwen3-8b-belebele-lora-amh-ethi
xummer/qwen3-8b-belebele-lora-amh-ethi
qwen3-8b-belebele-lora-amh-ethi is a text generation model from xummer. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Repo size
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 6, 2026
- Updated
- Mar 6, 2026
- SHA
- 9b48198f
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. -->
belebele_amh_Ethi
This model is a fine-tuned version of Qwen/Qwen3-8B on the belebele_amh_Ethi_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.0870
- Accuracy: 0.9718
- Mcq Accuracy: 0.48
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcq Accuracy |
|---|---|---|---|---|---|
| 0.0540 | 1.2903 | 40 | 0.0734 | 0.9593 | 0.2933 |
| 0.0499 | 2.5806 | 80 | 0.0586 | 0.9711 | 0.4667 |
| 0.0327 | 3.8710 | 120 | 0.0804 | 0.9728 | 0.5067 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- other
- Created
- Mar 6, 2026
- Updated
- Mar 6, 2026