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Qwen3-4B-lora-classifier – AI Model by Kuongan | AlphaNeural AI
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Kuongan
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Qwen3-4B-lora-classifier
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peft
safetensors
adapter
lora
transformers
Qwen/Qwen3-4B
apache-2.0
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Qwen3-4B-lora-classifier
This model is a fine-tuned version of
Qwen/Qwen3-4B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1299
Accuracy: 0.3743
F1 Macro: 0.3639
F1 Weighted: 0.3678
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
F1 Weighted
No log
1.0
22
1.5234
0.3086
0.1625
0.1565
No log
2.0
44
1.1338
0.3571
0.3526
0.3561
1.7772
3.0
66
1.1299
0.3743
0.3639
0.3678
Framework versions
PEFT 0.17.1
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.21.4
