AV_classifier_resnet50

hbenitez/AV_classifier_resnet50

AV_classifier_resnet50 is a image classification model from hbenitez. 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.

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: resnet
Access: Public
Created: Jul 17, 2023
Updated: Jul 17, 2023
SHA: b0aae725

Model card

From the Hugging Face model README

hbenitez/AV_classifier_resnet50

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.8261
Validation Loss: 2.4425
Train Accuracy: 0.6
Epoch: 99

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 8000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
8.2326	8.1060	0.0	0
8.3420	7.6394	0.05	1
7.9643	7.5706	0.05	2
7.9337	7.6265	0.05	3
7.8018	7.7736	0.05	4
7.8009	7.7905	0.05	5
7.6369	7.6354	0.05	6
7.4782	7.5608	0.05	7
7.3655	7.6271	0.05	8
7.2886	7.6028	0.0	9
7.1145	7.5211	0.0	10
7.1232	7.2993	0.0	11
6.8393	7.2079	0.0	12
6.8202	7.2143	0.0	13
6.7180	7.1236	0.05	14
6.7318	7.1061	0.0	15
6.4563	6.9758	0.05	16
6.3765	6.9413	0.05	17
6.1791	6.8315	0.05	18
6.1946	6.7703	0.05	19
5.8448	6.7431	0.1	20
5.8514	6.6876	0.1	21
5.8200	6.6353	0.05	22
5.8323	6.5814	0.05	23
5.5553	6.4306	0.05	24
5.4999	6.4455	0.05	25
5.4370	6.3026	0.05	26
5.2288	6.0093	0.1	27
5.2173	6.0593	0.05	28
5.2280	6.0598	0.05	29
5.0484	5.9769	0.05	30
4.8703	5.8336	0.05	31
4.9881	5.7711	0.1	32
4.5905	5.6685	0.1	33
4.7240	5.6156	0.15	34
4.5095	5.4680	0.15	35
4.2225	5.3962	0.15	36
4.3615	5.3290	0.2	37
4.1862	5.3602	0.15	38
3.9455	5.2635	0.15	39
3.9737	5.2337	0.15	40
4.0922	5.1268	0.15	41
3.6042	4.9972	0.2	42
3.7219	4.8787	0.15	43
3.5563	4.9075	0.2	44
3.5897	4.9157	0.25	45
3.5769	4.7936	0.25	46
3.6225	4.8689	0.2	47
3.4568	4.8767	0.2	48
3.1431	4.7520	0.25	49
3.0607	4.5815	0.3	50
2.8904	4.5007	0.2	51
2.8308	4.5054	0.25	52
2.8136	4.2745	0.25	53
2.6192	4.3300	0.2	54
2.5308	4.3180	0.2	55
2.5192	4.2706	0.2	56
2.5761	4.1395	0.25	57
2.3516	3.9031	0.3	58
2.3231	3.8172	0.35	59
2.2735	3.7651	0.35	60
2.1215	3.8034	0.35	61
2.3229	3.8096	0.35	62
2.2230	3.7000	0.35	63
1.9059	3.6666	0.25	64
2.0289	3.6743	0.25	65
1.9178	3.5819	0.3	66
2.0295	3.5087	0.35	67
1.6499	3.4962	0.4	68
1.6261	3.4146	0.3	69
1.7059	3.4097	0.35	70
1.4837	3.2702	0.35	71
1.3766	3.2214	0.4	72
1.5898	3.2674	0.4	73
1.5002	3.1907	0.4	74
1.2641	3.1176	0.4	75
1.3456	3.1562	0.4	76
1.2655	2.9548	0.5	77
1.5449	2.8738	0.5	78
1.2519	2.8336	0.45	79
1.0682	2.8478	0.35	80
1.1891	2.8408	0.5	81
1.2920	2.6254	0.5	82
1.1239	2.7507	0.5	83
1.0857	2.7772	0.4	84
0.9821	2.8372	0.45	85
1.0457	2.8636	0.45	86
1.1419	2.8426	0.45	87
1.0782	2.7856	0.5	88
0.9906	2.6826	0.55	89
1.0766	2.6707	0.5	90
1.1115	2.6457	0.5	91
1.2201	2.6838	0.55	92
0.8706	2.5262	0.55	93
0.7441	2.5422	0.55	94
0.9710	2.4211	0.6	95
0.9731	2.4090	0.6	96
0.8942	2.3773	0.6	97
1.0461	2.4159	0.55	98
0.8261	2.4425	0.6	99

Framework versions

Transformers 4.30.2
TensorFlow 2.13.0-rc2
Datasets 2.13.1
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: resnet
License: apache-2.0
Created: Jul 17, 2023
Updated: Jul 17, 2023