disease_detector_3B_dialog – AI Model by Jeongmoon | AlphaNeural AI

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Jeongmoon/
disease_detector_3B_dialog

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Qwen/Qwen2.5-3B-Instruct

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disease_detector_3B_dialog

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: 0.0001
Accuracy: 1.0
Roc Auc: 1.0

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	Validation Loss	Accuracy	Roc Auc
No log	1.0	220	0.0001	1.0	1.0
No log	2.0	440	0.0000	1.0	1.0
0.1031	3.0	660	0.0000	1.0	1.0
0.1031	4.0	880	0.0000	1.0	1.0
0.0	5.0	1100	0.0000	1.0	1.0
0.0	6.0	1320	0.0000	1.0	1.0
0.0	7.0	1540	0.0000	1.0	1.0

Framework versions

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