Hugging Face's logo

MinhLe999
/
3class_EfficientNetv2_ForTesting

Image Classification
Transformers
Safetensors
universal_vision
Generated from Trainer
custom_code
Model card Files
xet
Community
MinhLe999 commited on
Commit
1adbdbd
·
verified ·
1 Parent(s): e709ddb

End of training

Browse files
Files changed (3) hide show
  1. README.md +12 -59
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -2,11 +2,6 @@
2
  library_name: transformers
3
  tags:
4
  - generated_from_trainer
5
- metrics:
6
- - precision
7
- - recall
8
- - accuracy
9
- - f1
10
  model-index:
11
  - name: 3class_EfficientNetv2_ForTesting
12
  results: []
@@ -19,12 +14,18 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.0790
23
- - Precision: 0.9729
24
- - Recall: 0.9732
25
- - Accuracy: 0.9773
26
- - F1: 0.9730
27
- - Roc Auc: 0.9983
 
 
 
 
 
 
28
 
29
  ## Model description
30
 
@@ -52,54 +53,6 @@ The following hyperparameters were used during training:
52
  - num_epochs: 2
53
  - mixed_precision_training: Native AMP
54
 
55
- ### Training results
56
-
57
- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 | Roc Auc |
58
- |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|:-------:|
59
- | 0.5084 | 0.0466 | 30 | 0.4056 | 0.8538 | 0.8639 | 0.8716 | 0.8536 | 0.9726 |
60
- | 0.3707 | 0.0932 | 60 | 0.2457 | 0.9072 | 0.9170 | 0.9223 | 0.9101 | 0.9855 |
61
- | 0.2629 | 0.1398 | 90 | 0.2060 | 0.9168 | 0.9135 | 0.9266 | 0.9147 | 0.9886 |
62
- | 0.2108 | 0.1863 | 120 | 0.1867 | 0.9198 | 0.9277 | 0.9345 | 0.9226 | 0.9905 |
63
- | 0.2370 | 0.2329 | 150 | 0.1687 | 0.9263 | 0.9320 | 0.9389 | 0.9281 | 0.9911 |
64
- | 0.1325 | 0.2795 | 180 | 0.1441 | 0.9449 | 0.9323 | 0.9485 | 0.9378 | 0.9925 |
65
- | 0.1487 | 0.3261 | 210 | 0.1196 | 0.9424 | 0.9481 | 0.9528 | 0.9446 | 0.9956 |
66
- | 0.0947 | 0.3727 | 240 | 0.1068 | 0.9639 | 0.9611 | 0.9686 | 0.9624 | 0.9951 |
67
- | 0.1918 | 0.4193 | 270 | 0.1037 | 0.9634 | 0.9538 | 0.9659 | 0.9581 | 0.9960 |
68
- | 0.0833 | 0.4658 | 300 | 0.1083 | 0.9518 | 0.9517 | 0.9598 | 0.9517 | 0.9959 |
69
- | 0.1856 | 0.5124 | 330 | 0.0996 | 0.9541 | 0.9587 | 0.9633 | 0.9561 | 0.9970 |
70
- | 0.1917 | 0.5590 | 360 | 0.0979 | 0.9562 | 0.9581 | 0.9633 | 0.9569 | 0.9968 |
71
- | 0.1097 | 0.6056 | 390 | 0.1035 | 0.9601 | 0.9542 | 0.9642 | 0.9570 | 0.9961 |
72
- | 0.2180 | 0.6522 | 420 | 0.0829 | 0.9681 | 0.9689 | 0.9738 | 0.9684 | 0.9976 |
73
- | 0.1316 | 0.6988 | 450 | 0.0999 | 0.9627 | 0.9672 | 0.9703 | 0.9647 | 0.9971 |
74
- | 0.1480 | 0.7453 | 480 | 0.0833 | 0.9756 | 0.9710 | 0.9773 | 0.9732 | 0.9974 |
75
- | 0.0660 | 0.7919 | 510 | 0.0757 | 0.9733 | 0.9622 | 0.9729 | 0.9672 | 0.9979 |
76
- | 0.1069 | 0.8385 | 540 | 0.0664 | 0.9765 | 0.9745 | 0.9799 | 0.9755 | 0.9979 |
77
- | 0.0718 | 0.8851 | 570 | 0.0725 | 0.9777 | 0.9713 | 0.9782 | 0.9744 | 0.9979 |
78
- | 0.0738 | 0.9317 | 600 | 0.0786 | 0.9772 | 0.9670 | 0.9764 | 0.9717 | 0.9981 |
79
- | 0.0914 | 0.9783 | 630 | 0.0747 | 0.9795 | 0.9748 | 0.9808 | 0.9770 | 0.9977 |
80
- | 0.0299 | 1.0248 | 660 | 0.0812 | 0.9732 | 0.9726 | 0.9773 | 0.9729 | 0.9979 |
81
- | 0.0185 | 1.0714 | 690 | 0.0608 | 0.9781 | 0.9740 | 0.9799 | 0.9760 | 0.9985 |
82
- | 0.0603 | 1.1180 | 720 | 0.0776 | 0.9750 | 0.9777 | 0.9799 | 0.9762 | 0.9983 |
83
- | 0.0492 | 1.1646 | 750 | 0.0720 | 0.9762 | 0.9761 | 0.9799 | 0.9761 | 0.9982 |
84
- | 0.0304 | 1.2112 | 780 | 0.0738 | 0.9737 | 0.9750 | 0.9782 | 0.9743 | 0.9982 |
85
- | 0.0532 | 1.2578 | 810 | 0.0678 | 0.9740 | 0.9697 | 0.9764 | 0.9718 | 0.9983 |
86
- | 0.0618 | 1.3043 | 840 | 0.0805 | 0.9750 | 0.9716 | 0.9773 | 0.9732 | 0.9981 |
87
- | 0.0361 | 1.3509 | 870 | 0.0831 | 0.9715 | 0.9710 | 0.9755 | 0.9712 | 0.9982 |
88
- | 0.0207 | 1.3975 | 900 | 0.0703 | 0.9746 | 0.9734 | 0.9782 | 0.9740 | 0.9985 |
89
- | 0.0487 | 1.4441 | 930 | 0.0771 | 0.9739 | 0.9726 | 0.9773 | 0.9732 | 0.9983 |
90
- | 0.0374 | 1.4907 | 960 | 0.0760 | 0.9746 | 0.9734 | 0.9782 | 0.9740 | 0.9983 |
91
- | 0.0730 | 1.5373 | 990 | 0.0811 | 0.9724 | 0.9737 | 0.9773 | 0.9730 | 0.9983 |
92
- | 0.0659 | 1.5839 | 1020 | 0.0755 | 0.9773 | 0.9751 | 0.9799 | 0.9762 | 0.9983 |
93
- | 0.0645 | 1.6304 | 1050 | 0.0802 | 0.9704 | 0.9716 | 0.9755 | 0.9709 | 0.9984 |
94
- | 0.0497 | 1.6770 | 1080 | 0.0726 | 0.9772 | 0.9751 | 0.9799 | 0.9761 | 0.9984 |
95
- | 0.0374 | 1.7236 | 1110 | 0.0751 | 0.9752 | 0.9734 | 0.9782 | 0.9743 | 0.9983 |
96
- | 0.0310 | 1.7702 | 1140 | 0.0710 | 0.9789 | 0.9753 | 0.9808 | 0.9771 | 0.9984 |
97
- | 0.0304 | 1.8168 | 1170 | 0.0702 | 0.9728 | 0.9732 | 0.9773 | 0.9729 | 0.9985 |
98
- | 0.0072 | 1.8634 | 1200 | 0.0729 | 0.9775 | 0.9769 | 0.9808 | 0.9772 | 0.9984 |
99
- | 0.0094 | 1.9099 | 1230 | 0.0718 | 0.9762 | 0.9761 | 0.9799 | 0.9761 | 0.9984 |
100
- | 0.0413 | 1.9565 | 1260 | 0.0790 | 0.9729 | 0.9732 | 0.9773 | 0.9730 | 0.9983 |
101
-
102
-
103
  ### Framework versions
104
 
105
  - Transformers 5.3.0
 
2
  library_name: transformers
3
  tags:
4
  - generated_from_trainer
 
 
 
 
 
5
  model-index:
6
  - name: 3class_EfficientNetv2_ForTesting
7
  results: []
 
14
 
15
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
+ - eval_loss: 0.1331
18
+ - eval_model_preparation_time: 0.0183
19
+ - eval_precision: 0.9637
20
+ - eval_recall: 0.9679
21
+ - eval_accuracy: 0.9712
22
+ - eval_f1: 0.9656
23
+ - eval_roc_auc: 0.9966
24
+ - eval_runtime: 62.5585
25
+ - eval_samples_per_second: 18.303
26
+ - eval_steps_per_second: 0.575
27
+ - epoch: 0.3106
28
+ - step: 200
29
 
30
  ## Model description
31
 
 
53
  - num_epochs: 2
54
  - mixed_precision_training: Native AMP
55
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
  ### Framework versions
57
 
58
  - Transformers 5.3.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3f659c234a9792a80750304980e58f9f76b70b007c7ac3ec13d091e025675978
3
  size 81421692
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31cc96e62f66c6950dfcd6b1287b15342588bec3d415df8b52f01a3403844488
3
  size 81421692
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aa83c6471bd9e4c13fbe219fa8f72372ddeb56eb3f0e63bf7c652d1b2eeab069
3
  size 5265
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77972b5c880320b1702ee898d60172d236e01e307d4510872190de49dcb33822
3
  size 5265