disease_detector_7B

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4272
• Accuracy: 0.8881

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: 5

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	226	0.8458	0.4047
No log	2.0	452	0.8756	0.3787
0.4357	3.0	678	0.8881	0.4272
0.4357	4.0	904	0.8856	0.4874
0.148	5.0	1130	0.8881	0.4925

Framework versions

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