Commit
•
7713515
1
Parent(s):
425f366
End of training
Browse files
README.md
ADDED
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: microsoft/beit-base-patch16-224
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- imagefolder
|
8 |
+
metrics:
|
9 |
+
- accuracy
|
10 |
+
model-index:
|
11 |
+
- name: smids_1x_beit_base_adamax_001_fold2
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Image Classification
|
15 |
+
type: image-classification
|
16 |
+
dataset:
|
17 |
+
name: imagefolder
|
18 |
+
type: imagefolder
|
19 |
+
config: default
|
20 |
+
split: test
|
21 |
+
args: default
|
22 |
+
metrics:
|
23 |
+
- name: Accuracy
|
24 |
+
type: accuracy
|
25 |
+
value: 0.7903494176372712
|
26 |
+
---
|
27 |
+
|
28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
+
should probably proofread and complete it, then remove this comment. -->
|
30 |
+
|
31 |
+
# smids_1x_beit_base_adamax_001_fold2
|
32 |
+
|
33 |
+
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 1.4865
|
36 |
+
- Accuracy: 0.7903
|
37 |
+
|
38 |
+
## Model description
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Intended uses & limitations
|
43 |
+
|
44 |
+
More information needed
|
45 |
+
|
46 |
+
## Training and evaluation data
|
47 |
+
|
48 |
+
More information needed
|
49 |
+
|
50 |
+
## Training procedure
|
51 |
+
|
52 |
+
### Training hyperparameters
|
53 |
+
|
54 |
+
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 0.001
|
56 |
+
- train_batch_size: 32
|
57 |
+
- eval_batch_size: 32
|
58 |
+
- seed: 42
|
59 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
+
- lr_scheduler_type: linear
|
61 |
+
- lr_scheduler_warmup_ratio: 0.1
|
62 |
+
- num_epochs: 50
|
63 |
+
|
64 |
+
### Training results
|
65 |
+
|
66 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
+
| 0.9007 | 1.0 | 75 | 0.8802 | 0.5191 |
|
69 |
+
| 0.7789 | 2.0 | 150 | 0.8973 | 0.5424 |
|
70 |
+
| 0.8219 | 3.0 | 225 | 0.7607 | 0.6406 |
|
71 |
+
| 0.7838 | 4.0 | 300 | 0.7358 | 0.6522 |
|
72 |
+
| 0.6602 | 5.0 | 375 | 0.6978 | 0.6672 |
|
73 |
+
| 0.7026 | 6.0 | 450 | 0.6685 | 0.6955 |
|
74 |
+
| 0.6394 | 7.0 | 525 | 0.7731 | 0.6589 |
|
75 |
+
| 0.6471 | 8.0 | 600 | 0.6234 | 0.7138 |
|
76 |
+
| 0.5881 | 9.0 | 675 | 0.6358 | 0.7205 |
|
77 |
+
| 0.5254 | 10.0 | 750 | 0.5746 | 0.7671 |
|
78 |
+
| 0.5153 | 11.0 | 825 | 0.5501 | 0.7704 |
|
79 |
+
| 0.5459 | 12.0 | 900 | 0.5543 | 0.7687 |
|
80 |
+
| 0.5526 | 13.0 | 975 | 0.5321 | 0.7737 |
|
81 |
+
| 0.5236 | 14.0 | 1050 | 0.5404 | 0.7937 |
|
82 |
+
| 0.4317 | 15.0 | 1125 | 0.6220 | 0.7604 |
|
83 |
+
| 0.4195 | 16.0 | 1200 | 0.5679 | 0.7854 |
|
84 |
+
| 0.3753 | 17.0 | 1275 | 0.6021 | 0.7687 |
|
85 |
+
| 0.3821 | 18.0 | 1350 | 0.5958 | 0.7854 |
|
86 |
+
| 0.3599 | 19.0 | 1425 | 0.6478 | 0.7837 |
|
87 |
+
| 0.2813 | 20.0 | 1500 | 0.6634 | 0.7671 |
|
88 |
+
| 0.224 | 21.0 | 1575 | 0.6766 | 0.7820 |
|
89 |
+
| 0.2635 | 22.0 | 1650 | 0.6781 | 0.7870 |
|
90 |
+
| 0.1832 | 23.0 | 1725 | 0.8041 | 0.7604 |
|
91 |
+
| 0.1751 | 24.0 | 1800 | 0.8069 | 0.7671 |
|
92 |
+
| 0.2421 | 25.0 | 1875 | 0.8820 | 0.7737 |
|
93 |
+
| 0.2115 | 26.0 | 1950 | 0.8838 | 0.7970 |
|
94 |
+
| 0.1798 | 27.0 | 2025 | 0.8954 | 0.7787 |
|
95 |
+
| 0.1341 | 28.0 | 2100 | 1.0505 | 0.7987 |
|
96 |
+
| 0.0669 | 29.0 | 2175 | 1.2992 | 0.7770 |
|
97 |
+
| 0.0892 | 30.0 | 2250 | 1.1168 | 0.7987 |
|
98 |
+
| 0.1159 | 31.0 | 2325 | 1.2066 | 0.7870 |
|
99 |
+
| 0.1289 | 32.0 | 2400 | 1.5859 | 0.7687 |
|
100 |
+
| 0.0687 | 33.0 | 2475 | 1.1777 | 0.7887 |
|
101 |
+
| 0.0226 | 34.0 | 2550 | 1.4423 | 0.7854 |
|
102 |
+
| 0.04 | 35.0 | 2625 | 1.4594 | 0.7870 |
|
103 |
+
| 0.0552 | 36.0 | 2700 | 1.3867 | 0.7820 |
|
104 |
+
| 0.0439 | 37.0 | 2775 | 1.4599 | 0.7720 |
|
105 |
+
| 0.0308 | 38.0 | 2850 | 1.4968 | 0.7903 |
|
106 |
+
| 0.0564 | 39.0 | 2925 | 1.5256 | 0.7953 |
|
107 |
+
| 0.0227 | 40.0 | 3000 | 1.4454 | 0.7953 |
|
108 |
+
| 0.0214 | 41.0 | 3075 | 1.3100 | 0.8087 |
|
109 |
+
| 0.0167 | 42.0 | 3150 | 1.4699 | 0.7987 |
|
110 |
+
| 0.0299 | 43.0 | 3225 | 1.4525 | 0.7903 |
|
111 |
+
| 0.0171 | 44.0 | 3300 | 1.3889 | 0.8053 |
|
112 |
+
| 0.011 | 45.0 | 3375 | 1.3819 | 0.7920 |
|
113 |
+
| 0.014 | 46.0 | 3450 | 1.5122 | 0.7903 |
|
114 |
+
| 0.0198 | 47.0 | 3525 | 1.4328 | 0.7920 |
|
115 |
+
| 0.0085 | 48.0 | 3600 | 1.5057 | 0.7920 |
|
116 |
+
| 0.0028 | 49.0 | 3675 | 1.4856 | 0.7903 |
|
117 |
+
| 0.0049 | 50.0 | 3750 | 1.4865 | 0.7903 |
|
118 |
+
|
119 |
+
|
120 |
+
### Framework versions
|
121 |
+
|
122 |
+
- Transformers 4.35.2
|
123 |
+
- Pytorch 2.1.0+cu118
|
124 |
+
- Datasets 2.15.0
|
125 |
+
- Tokenizers 0.15.0
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343083404
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4bca16d86cc045cff43a33a1a5c6d6208cf8ded46192996ebb96f2b075dbfa0f
|
3 |
size 343083404
|
runs/Nov30_00-16-26_f888a2bfcfb9/events.out.tfevents.1701303394.f888a2bfcfb9.842.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b08ab8cc1d0ee6901467ec653ea6b00010afaf3d1fb04b54bf7704519c2dc56
|
3 |
+
size 80231
|