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qwen3-8b-belebele-lora-ben-beng – AI Model by xummer | AlphaNeural AI
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xummer
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qwen3-8b-belebele-lora-ben-beng
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safetensors
adapter
llama-factory
lora
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Qwen/Qwen3-8B
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belebele_ben_Beng
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the belebele_ben_Beng_train dataset. It achieves the following results on the evaluation set:
Loss: 0.1667
Accuracy: 0.9720
Mcq Accuracy: 0.6782
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
0.0455
1.0811
40
0.1198
0.9704
0.6782
0.0649
2.1622
80
0.1111
0.9736
0.6897
0.0162
3.2432
120
0.1349
0.9723
0.6897
0.0071
4.3243
160
0.1636
0.9725
0.6782
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
