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qwen3-8b-belebele-lora-amh-ethi – AI Model by xummer | AlphaNeural AI
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qwen3-8b-belebele-lora-amh-ethi
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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
