Hugging Face's logo

Augusto777
/
BEiT-RHS-DA

TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
Augusto777 commited on
Commit
7acc07b
·
verified ·
1 Parent(s): 616a77e

Model save

Browse files
Files changed (3) hide show
  1. README.md +117 -0
  2. model.safetensors +1 -1
  3. runs/Dec03_21-55-45_DESKTOP-SKBE9FB/events.out.tfevents.1733284547.DESKTOP-SKBE9FB.22524.0 +2 -2
README.md ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: BEiT-RHS-DA
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: validation
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.5887850467289719
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
+ # BEiT-RHS-DA
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: 3.6741
36
+ - Accuracy: 0.5888
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: 5e-05
56
+ - train_batch_size: 16
57
+ - eval_batch_size: 16
58
+ - seed: 42
59
+ - gradient_accumulation_steps: 4
60
+ - total_train_batch_size: 64
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: linear
63
+ - lr_scheduler_warmup_ratio: 0.05
64
+ - num_epochs: 40
65
+
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 1.2357 | 0.98 | 22 | 0.7114 | 0.5888 |
71
+ | 0.6596 | 2.0 | 45 | 0.7059 | 0.5981 |
72
+ | 0.206 | 2.98 | 67 | 1.1449 | 0.5981 |
73
+ | 0.1664 | 4.0 | 90 | 2.2062 | 0.3925 |
74
+ | 0.1011 | 4.98 | 112 | 2.0409 | 0.4673 |
75
+ | 0.0653 | 6.0 | 135 | 1.3038 | 0.6262 |
76
+ | 0.2843 | 6.98 | 157 | 1.7210 | 0.5981 |
77
+ | 0.059 | 8.0 | 180 | 2.8706 | 0.4673 |
78
+ | 0.1318 | 8.98 | 202 | 2.4519 | 0.5888 |
79
+ | 0.0501 | 10.0 | 225 | 2.2037 | 0.5888 |
80
+ | 0.054 | 10.98 | 247 | 2.6467 | 0.5888 |
81
+ | 0.0263 | 12.0 | 270 | 2.4033 | 0.5981 |
82
+ | 0.0553 | 12.98 | 292 | 1.6589 | 0.5888 |
83
+ | 0.0898 | 14.0 | 315 | 1.7657 | 0.5981 |
84
+ | 0.0324 | 14.98 | 337 | 2.8266 | 0.5888 |
85
+ | 0.0322 | 16.0 | 360 | 1.7194 | 0.6355 |
86
+ | 0.03 | 16.98 | 382 | 2.0352 | 0.6168 |
87
+ | 0.0392 | 18.0 | 405 | 2.4130 | 0.6168 |
88
+ | 0.0428 | 18.98 | 427 | 2.0628 | 0.6075 |
89
+ | 0.0127 | 20.0 | 450 | 2.7431 | 0.5888 |
90
+ | 0.0187 | 20.98 | 472 | 2.7009 | 0.5981 |
91
+ | 0.0469 | 22.0 | 495 | 2.5783 | 0.5981 |
92
+ | 0.0095 | 22.98 | 517 | 2.3040 | 0.5981 |
93
+ | 0.0025 | 24.0 | 540 | 2.5218 | 0.6168 |
94
+ | 0.0281 | 24.98 | 562 | 3.2310 | 0.5981 |
95
+ | 0.0004 | 26.0 | 585 | 3.2731 | 0.5981 |
96
+ | 0.0109 | 26.98 | 607 | 2.4809 | 0.6262 |
97
+ | 0.0191 | 28.0 | 630 | 2.7825 | 0.5888 |
98
+ | 0.0005 | 28.98 | 652 | 3.5280 | 0.5888 |
99
+ | 0.0093 | 30.0 | 675 | 2.8290 | 0.6075 |
100
+ | 0.0224 | 30.98 | 697 | 2.9546 | 0.5794 |
101
+ | 0.0011 | 32.0 | 720 | 3.0148 | 0.6075 |
102
+ | 0.003 | 32.98 | 742 | 3.2916 | 0.5981 |
103
+ | 0.0003 | 34.0 | 765 | 3.2930 | 0.5981 |
104
+ | 0.0003 | 34.98 | 787 | 3.6287 | 0.5888 |
105
+ | 0.0002 | 36.0 | 810 | 3.6918 | 0.5888 |
106
+ | 0.0004 | 36.98 | 832 | 3.6597 | 0.5888 |
107
+ | 0.0003 | 38.0 | 855 | 3.6599 | 0.5888 |
108
+ | 0.0002 | 38.98 | 877 | 3.6740 | 0.5888 |
109
+ | 0.0002 | 39.11 | 880 | 3.6741 | 0.5888 |
110
+
111
+
112
+ ### Framework versions
113
+
114
+ - Transformers 4.36.2
115
+ - Pytorch 2.1.2+cu118
116
+ - Datasets 2.16.1
117
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d9e41faeee5f5fee883c624a4f380eddac2f4f4453b59200773cb061f7ad61ff
3
  size 343080328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e556640220ff302440a8255657d723534ea1397e7b67f5e698793aabeb12b99a
3
  size 343080328
runs/Dec03_21-55-45_DESKTOP-SKBE9FB/events.out.tfevents.1733284547.DESKTOP-SKBE9FB.22524.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d9a6f211230607d3adef41637e6202356cf127b5e2517bad4c58dfd7d2fe45bb
3
- size 30092
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc135475c8b5a5924e8687195115c321b21613969bb3154ed2e458421ed2535c
3
+ size 32200