swiftformer-xs-ve-U13-b-80e

Augusto777/swiftformer-xs-ve-U13-b-80e

swiftformer-xs-ve-U13-b-80e is a image classification model from Augusto777. Use it when you need a label for an image. It is set up for transformers.

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

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At a glance

Task: Image Classification
Library: transformers
Model type: swiftformer
Access: Public
Created: Jun 12, 2024
Updated: Jun 12, 2024
SHA: b9411681

Base models

MBZUAI/swiftformer-xs

Datasets

imagefolder

Model card

From the Hugging Face model README

swiftformer-xs-ve-U13-b-80e

This model is a fine-tuned version of MBZUAI/swiftformer-xs on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6618
Accuracy: 0.8478

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: 0.0003
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: 0.15
num_epochs: 80

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.92	6	1.3859	0.2391
1.3857	2.0	13	1.3834	0.3261
1.3857	2.92	19	1.3789	0.1957
1.3767	4.0	26	1.3666	0.1739
1.3227	4.92	32	1.3565	0.1522
1.3227	6.0	39	1.3887	0.1087
1.1987	6.92	45	1.3719	0.2174
1.1071	8.0	52	1.3271	0.3043
1.1071	8.92	58	1.3562	0.2609
0.9926	10.0	65	1.2306	0.4130
0.8721	10.92	71	1.1953	0.4565
0.8721	12.0	78	1.0754	0.5652
0.7746	12.92	84	0.9931	0.6739
0.6859	14.0	91	0.9979	0.6739
0.6859	14.92	97	0.8964	0.6957
0.5777	16.0	104	0.9186	0.6522
0.5136	16.92	110	0.7950	0.7609
0.5136	18.0	117	0.7794	0.7391
0.5019	18.92	123	0.8645	0.7174
0.3879	20.0	130	0.8773	0.6957
0.3879	20.92	136	0.7304	0.7609
0.3532	22.0	143	0.6918	0.7609
0.3532	22.92	149	0.7882	0.7609
0.3288	24.0	156	0.7132	0.7609
0.2573	24.92	162	0.6645	0.8043
0.2573	26.0	169	0.6618	0.8478
0.239	26.92	175	0.6780	0.8043
0.2018	28.0	182	0.8138	0.6957
0.2018	28.92	188	0.8797	0.6957
0.1961	30.0	195	0.8602	0.7174
0.214	30.92	201	0.8188	0.7391
0.214	32.0	208	0.6956	0.7609
0.1596	32.92	214	0.7981	0.7391
0.172	34.0	221	0.6845	0.7609
0.172	34.92	227	0.9340	0.7174
0.1852	36.0	234	0.9548	0.6522
0.1492	36.92	240	0.7747	0.7609
0.1492	38.0	247	0.9907	0.6304
0.1735	38.92	253	0.8040	0.7174
0.1405	40.0	260	0.6946	0.7609
0.1405	40.92	266	0.7019	0.7609
0.1269	42.0	273	0.8246	0.7174
0.1269	42.92	279	0.9238	0.6739
0.1237	44.0	286	0.9354	0.6957
0.1201	44.92	292	0.7543	0.7391
0.1201	46.0	299	0.7151	0.7174
0.1134	46.92	305	0.7284	0.7174
0.1141	48.0	312	0.7791	0.7609
0.1141	48.92	318	0.7824	0.7391
0.1253	50.0	325	0.7319	0.7609
0.0968	50.92	331	0.7151	0.7609
0.0968	52.0	338	0.7662	0.7609
0.0996	52.92	344	0.8086	0.7826
0.0844	54.0	351	0.8921	0.7609
0.0844	54.92	357	0.8782	0.7609
0.1141	56.0	364	0.7864	0.7391
0.1263	56.92	370	0.7125	0.7609
0.1263	58.0	377	0.6758	0.7609
0.0966	58.92	383	0.7243	0.7609
0.0771	60.0	390	0.7090	0.7609
0.0771	60.92	396	0.7157	0.7609
0.0497	62.0	403	0.7549	0.7609
0.0497	62.92	409	0.7806	0.7609
0.0848	64.0	416	0.7902	0.7391
0.0477	64.92	422	0.7684	0.7391
0.0477	66.0	429	0.8038	0.6957
0.0823	66.92	435	0.7503	0.6957
0.0726	68.0	442	0.7634	0.7609
0.0726	68.92	448	0.7860	0.7826
0.0799	70.0	455	0.7630	0.7609
0.067	70.92	461	0.8094	0.7391
0.067	72.0	468	0.7511	0.7391
0.0893	72.92	474	0.7738	0.7391
0.0738	73.85	480	0.7971	0.7391

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: swiftformer
Created: Jun 12, 2024
Updated: Jun 12, 2024