resnet-50-finetuned-student_two_classes

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.4531
• Accuracy: 0.85

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5955	1.0	13	0.4665	0.85
0.5303	2.0	26	0.4790	0.85
0.6127	3.0	39	0.4787	0.85
0.5025	4.0	52	0.4547	0.85
0.471	5.0	65	0.4621	0.85
0.4673	6.0	78	0.4775	0.86
0.4492	7.0	91	0.4648	0.86
0.4144	8.0	104	0.4733	0.85
0.4963	9.0	117	0.4575	0.85
0.4149	10.0	130	0.4691	0.85
0.4588	11.0	143	0.4596	0.84
0.3995	12.0	156	0.4754	0.85
0.359	13.0	169	0.4616	0.85
0.4246	14.0	182	0.4552	0.85
0.4001	15.0	195	0.4839	0.85
0.3919	16.0	208	0.4708	0.85
0.4137	17.0	221	0.4416	0.85
0.3912	18.0	234	0.4507	0.85
0.4322	19.0	247	0.4237	0.85
0.4043	20.0	260	0.4531	0.85

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1