disease_detector_3B_new – AI Model by Jeongmoon | AlphaNeural AI

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Jeongmoon/
disease_detector_3B_new

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Qwen/Qwen2.5-3B-Instruct

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disease_detector_3B_new

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5519
Accuracy: 0.8657
Roc Auc: 0.9121

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Roc Auc
No log	1.0	224	0.7778	0.4837	0.8247
No log	2.0	448	0.8380	0.4102	0.8668
0.4331	3.0	672	0.8495	0.4447	0.8877
0.4331	4.0	896	0.8449	0.5465	0.8943
0.1629	5.0	1120	0.8657	0.5519	0.9121
0.1629	6.0	1344	0.8565	0.6576	0.9086
0.118	7.0	1568	0.8634	0.6516	0.9103

Framework versions

PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.2.0
Tokenizers 0.22.1