swinv2-tiny-patch4-window8-256-DMAE-U

Augusto777/swinv2-tiny-patch4-window8-256-DMAE-U

swinv2-tiny-patch4-window8-256-DMAE-U is a machine learning model from Augusto777. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

27.6M

883 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors110 MB · 100%

At a glance

License: apache-2.0
Model type: swinv2
Access: Public
Created: Dec 3, 2024
Updated: Dec 3, 2024
SHA: ca9e8928

Base models

microsoft/swinv2-tiny-patch4-window8-256

Datasets

imagefolder

Model card

From the Hugging Face model README

swinv2-tiny-patch4-window8-256-DMAE-U

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 1.0462
Accuracy: 0.6522

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: 4e-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
num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.86	3	1.3654	0.4783
No log	2.0	7	1.3027	0.4565
1.3356	2.86	10	1.2580	0.4565
1.3356	4.0	14	1.2157	0.4565
1.3356	4.86	17	1.2121	0.4565
1.202	6.0	21	1.2014	0.4565
1.202	6.86	24	1.2013	0.4565
1.202	8.0	28	1.1949	0.4565
1.1884	8.86	31	1.1934	0.4565
1.1884	10.0	35	1.1916	0.4565
1.1884	10.86	38	1.1829	0.4565
1.1351	12.0	42	1.1568	0.4565
1.1351	12.86	45	1.1371	0.4565
1.1351	14.0	49	1.1238	0.4783
1.132	14.86	52	1.1183	0.5217
1.132	16.0	56	1.0962	0.6087
1.132	16.86	59	1.0737	0.6087
1.0659	18.0	63	1.0462	0.6522
1.0659	18.86	66	1.0217	0.6304
1.0299	20.0	70	0.9955	0.6522
1.0299	20.86	73	0.9767	0.6304
1.0299	22.0	77	0.9495	0.6304
0.9684	22.86	80	0.9328	0.6304
0.9684	24.0	84	0.9176	0.6304
0.9684	24.86	87	0.9078	0.6304
0.9301	26.0	91	0.8966	0.6304
0.9301	26.86	94	0.8951	0.6304
0.9301	28.0	98	0.8894	0.6522
0.9258	28.86	101	0.8820	0.6304
0.9258	30.0	105	0.8771	0.6304
0.9258	30.86	108	0.8776	0.6522
0.8877	32.0	112	0.8754	0.6522
0.8877	32.86	115	0.8732	0.6522
0.8877	34.0	119	0.8721	0.6522
0.8953	34.29	120	0.8719	0.6522

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0

Type: swinv2
License: apache-2.0
Created: Dec 3, 2024
Updated: Dec 3, 2024