hf_images_model1

lngrid2020/hf_images_model1

hf_images_model1 is a image classification model from lngrid2020. 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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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Nov 7, 2023
Updated: Nov 7, 2023
SHA: bad76d7c

Base models

google/vit-base-patch16-224-in21k

Datasets

image_folder

Model card

From the Hugging Face model README

hf_images_model1

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.2058
Accuracy: 0.9178

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7057	0.04	10	0.7027	0.4644
0.6808	0.09	20	0.6615	0.6590
0.6278	0.13	30	0.5969	0.7441
0.5674	0.17	40	0.5134	0.8183
0.4761	0.21	50	0.4146	0.875
0.3777	0.26	60	0.3362	0.8796
0.303	0.3	70	0.2906	0.8854
0.2385	0.34	80	0.2694	0.8937
0.2452	0.39	90	0.2515	0.9012
0.2771	0.43	100	0.2441	0.9050
0.2332	0.47	110	0.2510	0.8975
0.2495	0.51	120	0.2398	0.9052
0.2611	0.56	130	0.2384	0.9063
0.2292	0.6	140	0.2931	0.8865
0.2518	0.64	150	0.2537	0.8994
0.211	0.69	160	0.2619	0.8953
0.2514	0.73	170	0.2236	0.9090
0.2272	0.77	180	0.2254	0.9085
0.2263	0.81	190	0.2141	0.9181
0.2524	0.86	200	0.2038	0.9194
0.2024	0.9	210	0.2038	0.9165
0.2355	0.94	220	0.2215	0.9103
0.2431	0.99	230	0.2116	0.9178
0.1921	1.03	240	0.2105	0.9111
0.1845	1.07	250	0.2107	0.9117
0.1838	1.11	260	0.2070	0.9119
0.1824	1.16	270	0.2110	0.9130
0.1706	1.2	280	0.2177	0.9154
0.1826	1.24	290	0.2058	0.9160
0.1816	1.28	300	0.2081	0.9176
0.1901	1.33	310	0.2187	0.9149
0.2112	1.37	320	0.2107	0.9181
0.22	1.41	330	0.2065	0.9173
0.2105	1.46	340	0.2090	0.9170
0.2016	1.5	350	0.2044	0.9141
0.2055	1.54	360	0.2029	0.9173
0.1507	1.58	370	0.2103	0.9192
0.1705	1.63	380	0.1960	0.9184
0.1605	1.67	390	0.2070	0.9154
0.2011	1.71	400	0.2096	0.9160
0.1832	1.76	410	0.2023	0.9176
0.1756	1.8	420	0.2005	0.9189
0.1874	1.84	430	0.2050	0.9135
0.1497	1.88	440	0.1936	0.9240
0.1891	1.93	450	0.1991	0.9208
0.1595	1.97	460	0.2014	0.9194
0.2028	2.01	470	0.1994	0.9184
0.1794	2.06	480	0.2068	0.9146
0.1404	2.1	490	0.2046	0.9181
0.1615	2.14	500	0.1955	0.9243
0.1555	2.18	510	0.2027	0.9202
0.151	2.23	520	0.1893	0.9261
0.1676	2.27	530	0.2046	0.9192
0.1744	2.31	540	0.1967	0.9218
0.1644	2.36	550	0.1970	0.9226
0.2048	2.4	560	0.1930	0.9243
0.1649	2.44	570	0.1986	0.9218
0.1435	2.48	580	0.1956	0.9213
0.1598	2.53	590	0.1986	0.9197
0.1513	2.57	600	0.2020	0.9173
0.1769	2.61	610	0.2005	0.9170
0.1488	2.66	620	0.2033	0.9197
0.1636	2.7	630	0.1964	0.9216
0.1583	2.74	640	0.1985	0.9189
0.1294	2.78	650	0.2109	0.9151
0.1585	2.83	660	0.2000	0.9186
0.1531	2.87	670	0.2078	0.9178
0.1294	2.91	680	0.1891	0.9272
0.1612	2.96	690	0.2058	0.9178

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

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