WS800_SwinT_42820409

alirzb/WS800_SwinT_42820409

WS800_SwinT_42820409 is a image classification model from alirzb. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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Base models

microsoft/swin-base-patch4-window7-224

Model card

From the Hugging Face model README

WS800_SwinT_42820409

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

Loss: 0.0091
Accuracy: 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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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	Accuracy
No log	0.96	6	0.6706	0.9625
No log	1.92	12	0.4819	1.0
No log	2.88	18	0.2188	1.0
No log	4.0	25	0.0947	1.0
No log	4.96	31	0.0464	1.0
No log	5.92	37	0.0263	1.0
No log	6.88	43	0.0163	1.0
0.2515	8.0	50	0.0112	1.0
0.2515	8.96	56	0.0103	1.0
0.2515	9.6	60	0.0091	1.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jan 11, 2024
Updated: Jan 11, 2024