results

paulac9/results

results is a image classification model from paulac9. 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

Repo makeup

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.safetensors110 MB · 100%

Parameter types

How the weights are stored.

F3227.5M · 100%

Base models

microsoft/swin-tiny-patch4-window7-224

Datasets

imagefolder

Model card

From the Hugging Face model README

results

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

Loss: 0.8263
Accuracy: 0.6462

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
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	1.1611	0.5077
No log	2.0	3	1.1465	0.5077
No log	3.0	5	1.1057	0.5077
No log	4.0	6	1.1134	0.5077
No log	5.0	7	1.0864	0.5077
No log	6.0	9	0.9838	0.5385
0.5404	7.0	11	0.9655	0.5538
0.5404	8.0	12	0.9630	0.5692
0.5404	9.0	13	0.9631	0.5538
0.5404	10.0	15	1.0177	0.5385
0.5404	11.0	17	1.0124	0.5538
0.5404	12.0	18	0.9905	0.5692
0.5404	13.0	19	0.9473	0.6154
0.5207	14.0	21	0.9549	0.6
0.5207	15.0	23	0.9348	0.5846
0.5207	16.0	24	0.9019	0.5846
0.5207	17.0	25	0.8687	0.5846
0.5207	18.0	27	0.8462	0.5846
0.5207	19.0	29	0.8418	0.6154
0.5146	20.0	30	0.8419	0.6
0.5146	21.0	31	0.8435	0.5692
0.5146	22.0	33	0.8415	0.5538
0.5146	23.0	35	0.8293	0.6154
0.5146	24.0	36	0.8254	0.6
0.5146	25.0	37	0.8219	0.6154
0.5146	26.0	39	0.8195	0.6462
0.4352	27.0	41	0.8192	0.6462
0.4352	28.0	42	0.8198	0.6308
0.4352	29.0	43	0.8230	0.6615
0.4352	30.0	45	0.8264	0.6462
0.4352	31.0	47	0.8268	0.6462
0.4352	32.0	48	0.8266	0.6462
0.4352	33.0	49	0.8263	0.6462
0.4724	33.33	50	0.8263	0.6462

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Nov 7, 2023
Updated: Nov 7, 2023