Hugging Face's logo

Augusto777
/
beit-base-patch16-224-dmae-va-U5-42D

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Augusto777 commited on
Commit
9e788d3
·
verified ·
1 Parent(s): 08d51e7

Model save

Browse files
Files changed (3) hide show
  1. README.md +100 -0
  2. model.safetensors +1 -1
  3. runs/Apr20_14-46-58_4a7f98e02d81/events.out.tfevents.1713624419.4a7f98e02d81.2014.0 +2 -2
README.md ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: microsoft/beit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: beit-base-patch16-224-dmae-va-U5-42D
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # beit-base-patch16-224-dmae-va-U5-42D
17
+
18
+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 1.6193
21
+ - Accuracy: 0.7
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0004
41
+ - train_batch_size: 32
42
+ - eval_batch_size: 32
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 4
45
+ - total_train_batch_size: 128
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 42
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | No log | 0.9 | 7 | 0.8832 | 0.6167 |
56
+ | 1.2709 | 1.94 | 15 | 0.8194 | 0.7 |
57
+ | 0.9705 | 2.97 | 23 | 0.7715 | 0.6 |
58
+ | 0.7033 | 4.0 | 31 | 1.1243 | 0.6333 |
59
+ | 0.7033 | 4.9 | 38 | 1.2102 | 0.55 |
60
+ | 0.7367 | 5.94 | 46 | 1.0123 | 0.65 |
61
+ | 0.5424 | 6.97 | 54 | 1.1218 | 0.6667 |
62
+ | 0.3998 | 8.0 | 62 | 1.3493 | 0.6 |
63
+ | 0.3998 | 8.9 | 69 | 1.3213 | 0.5833 |
64
+ | 0.3478 | 9.94 | 77 | 1.2704 | 0.6167 |
65
+ | 0.3467 | 10.97 | 85 | 1.4684 | 0.6167 |
66
+ | 0.2805 | 12.0 | 93 | 1.1832 | 0.7167 |
67
+ | 0.2496 | 12.9 | 100 | 1.3645 | 0.6333 |
68
+ | 0.2496 | 13.94 | 108 | 1.3561 | 0.6667 |
69
+ | 0.1855 | 14.97 | 116 | 1.6048 | 0.6167 |
70
+ | 0.2162 | 16.0 | 124 | 1.3662 | 0.6833 |
71
+ | 0.1833 | 16.9 | 131 | 1.6070 | 0.6667 |
72
+ | 0.1833 | 17.94 | 139 | 1.8448 | 0.6 |
73
+ | 0.2022 | 18.97 | 147 | 1.3397 | 0.65 |
74
+ | 0.1587 | 20.0 | 155 | 1.5272 | 0.65 |
75
+ | 0.1991 | 20.9 | 162 | 1.4667 | 0.65 |
76
+ | 0.1639 | 21.94 | 170 | 1.3853 | 0.65 |
77
+ | 0.1639 | 22.97 | 178 | 1.8195 | 0.6667 |
78
+ | 0.1364 | 24.0 | 186 | 1.7032 | 0.6167 |
79
+ | 0.1513 | 24.9 | 193 | 1.6734 | 0.65 |
80
+ | 0.1197 | 25.94 | 201 | 1.8673 | 0.6 |
81
+ | 0.1197 | 26.97 | 209 | 1.9885 | 0.6 |
82
+ | 0.1366 | 28.0 | 217 | 1.7329 | 0.6667 |
83
+ | 0.0982 | 28.9 | 224 | 1.6177 | 0.7333 |
84
+ | 0.0983 | 29.94 | 232 | 1.6226 | 0.7167 |
85
+ | 0.1131 | 30.97 | 240 | 1.5967 | 0.7 |
86
+ | 0.1131 | 32.0 | 248 | 1.6310 | 0.7 |
87
+ | 0.0694 | 32.9 | 255 | 1.6673 | 0.7333 |
88
+ | 0.0745 | 33.94 | 263 | 1.6257 | 0.7 |
89
+ | 0.058 | 34.97 | 271 | 1.6017 | 0.7167 |
90
+ | 0.058 | 36.0 | 279 | 1.6812 | 0.7 |
91
+ | 0.055 | 36.9 | 286 | 1.6524 | 0.7 |
92
+ | 0.0569 | 37.94 | 294 | 1.6193 | 0.7 |
93
+
94
+
95
+ ### Framework versions
96
+
97
+ - Transformers 4.38.2
98
+ - Pytorch 2.2.1+cu121
99
+ - Datasets 2.19.0
100
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ca0d3458dfdeaca7a9608b992ccc22c903e46af901409aa06dc21eb0b55f6f91
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:837d9813dfd3ae347df8759ae5b889c9b3b0cbf184c99c12b3b1a2616c109d38
3
  size 343086480
runs/Apr20_14-46-58_4a7f98e02d81/events.out.tfevents.1713624419.4a7f98e02d81.2014.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c31044320edb4f1c28222354aaad07b53cf13617f87a7ce7c6e2c1f6a06aac9d
3
- size 23794
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25733f8acb542925e24635ede29adec3a545562b0a3f2385c545cd335e9d635b
3
+ size 24148