swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K – AI Model by t1msan | AlphaNeural AI

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t1msan/
swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K

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image-classification

generated_from_trainer

microsoft/swin-base-patch4-window7-224-in22k

autotrain_compatible

endpoints_compatible

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swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0200

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.94	4	0.5851
No log	1.88	8	0.2724
0.5032	2.82	12	0.1171
0.5032	4.0	17	0.0423
0.0697	4.94	21	0.0949
0.0697	5.88	25	0.0200
0.0697	6.82	29	0.0771
0.0221	8.0	34	0.1412
0.0221	8.94	38	0.1106
0.0131	9.41	40	0.1085

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2