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qwen3-8b-belebele-lora-tam-taml – AI Model by xummer | AlphaNeural AI
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qwen3-8b-belebele-lora-tam-taml
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
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Qwen/Qwen3-8B
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belebele_tam_Taml
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the belebele_tam_Taml_train dataset. It achieves the following results on the evaluation set:
Loss: 0.2120
Accuracy: 0.9499
Mcq Accuracy: 0.5333
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
0.1423
1.0256
40
0.2077
0.9471
0.4889
0.0974
2.0513
80
0.1708
0.9521
0.5556
0.0563
3.0769
120
0.1702
0.9522
0.5667
0.0299
4.1026
160
0.2047
0.9496
0.5444
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
