Hugging Face's logo

andikamandalaa
/
vit-base-patch16-224-in21k-emotion-classification

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
andikamandalaa commited on
Commit
ed8dba9
•
1 Parent(s): 4073980

End of training

Browse files
Files changed (2) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-base-patch16-224-in21k
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: vit-base-patch16-224-in21k-emotion-classification
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: train
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.4375
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
+ # vit-base-patch16-224-in21k-emotion-classification
32
+
33
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.6098
36
+ - Accuracy: 0.4375
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: 32
57
+ - eval_batch_size: 32
58
+ - seed: 101010
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - lr_scheduler_warmup_steps: 2000
62
+ - num_epochs: 50
63
+
64
+ ### Training results
65
+
66
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | No log | 1.0 | 20 | 2.0782 | 0.1938 |
69
+ | No log | 2.0 | 40 | 2.0771 | 0.1938 |
70
+ | No log | 3.0 | 60 | 2.0752 | 0.1875 |
71
+ | No log | 4.0 | 80 | 2.0725 | 0.1875 |
72
+ | No log | 5.0 | 100 | 2.0691 | 0.1812 |
73
+ | No log | 6.0 | 120 | 2.0646 | 0.1875 |
74
+ | No log | 7.0 | 140 | 2.0591 | 0.1875 |
75
+ | No log | 8.0 | 160 | 2.0517 | 0.2062 |
76
+ | No log | 9.0 | 180 | 2.0423 | 0.2062 |
77
+ | No log | 10.0 | 200 | 2.0301 | 0.2437 |
78
+ | No log | 11.0 | 220 | 2.0148 | 0.275 |
79
+ | No log | 12.0 | 240 | 1.9941 | 0.2687 |
80
+ | No log | 13.0 | 260 | 1.9721 | 0.325 |
81
+ | No log | 14.0 | 280 | 1.9464 | 0.3375 |
82
+ | No log | 15.0 | 300 | 1.9138 | 0.3312 |
83
+ | No log | 16.0 | 320 | 1.8832 | 0.3438 |
84
+ | No log | 17.0 | 340 | 1.8495 | 0.3625 |
85
+ | No log | 18.0 | 360 | 1.8153 | 0.3688 |
86
+ | No log | 19.0 | 380 | 1.7807 | 0.3625 |
87
+ | No log | 20.0 | 400 | 1.7487 | 0.3812 |
88
+ | No log | 21.0 | 420 | 1.7179 | 0.3875 |
89
+ | No log | 22.0 | 440 | 1.6897 | 0.4125 |
90
+ | No log | 23.0 | 460 | 1.6649 | 0.4062 |
91
+ | No log | 24.0 | 480 | 1.6409 | 0.3937 |
92
+ | 1.7227 | 25.0 | 500 | 1.6235 | 0.4188 |
93
+ | 1.7227 | 26.0 | 520 | 1.5990 | 0.4 |
94
+ | 1.7227 | 27.0 | 540 | 1.5816 | 0.425 |
95
+ | 1.7227 | 28.0 | 560 | 1.5664 | 0.45 |
96
+ | 1.7227 | 29.0 | 580 | 1.5497 | 0.4313 |
97
+ | 1.7227 | 30.0 | 600 | 1.5323 | 0.4125 |
98
+ | 1.7227 | 31.0 | 620 | 1.5209 | 0.425 |
99
+ | 1.7227 | 32.0 | 640 | 1.5059 | 0.4 |
100
+ | 1.7227 | 33.0 | 660 | 1.5029 | 0.4188 |
101
+ | 1.7227 | 34.0 | 680 | 1.4970 | 0.4313 |
102
+ | 1.7227 | 35.0 | 700 | 1.4944 | 0.4062 |
103
+ | 1.7227 | 36.0 | 720 | 1.4992 | 0.425 |
104
+ | 1.7227 | 37.0 | 740 | 1.5060 | 0.425 |
105
+ | 1.7227 | 38.0 | 760 | 1.4960 | 0.4313 |
106
+ | 1.7227 | 39.0 | 780 | 1.5080 | 0.4313 |
107
+ | 1.7227 | 40.0 | 800 | 1.5175 | 0.425 |
108
+ | 1.7227 | 41.0 | 820 | 1.5219 | 0.4188 |
109
+ | 1.7227 | 42.0 | 840 | 1.5273 | 0.4313 |
110
+ | 1.7227 | 43.0 | 860 | 1.5318 | 0.425 |
111
+ | 1.7227 | 44.0 | 880 | 1.5446 | 0.4313 |
112
+ | 1.7227 | 45.0 | 900 | 1.5519 | 0.4375 |
113
+ | 1.7227 | 46.0 | 920 | 1.5678 | 0.4188 |
114
+ | 1.7227 | 47.0 | 940 | 1.5747 | 0.4375 |
115
+ | 1.7227 | 48.0 | 960 | 1.5843 | 0.4375 |
116
+ | 1.7227 | 49.0 | 980 | 1.5968 | 0.425 |
117
+ | 0.3221 | 50.0 | 1000 | 1.6098 | 0.4375 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.37.2
123
+ - Pytorch 2.1.2+cu121
124
+ - Datasets 2.16.1
125
+ - Tokenizers 0.15.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e10c82d336694e7f5e24aa5d77c11b2d2f141b7ee4bfd0751c29a70c6a7b4e7c
3
  size 343242432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18be381e6151c260805412007702aa6189a07c57d3a237c019ddcb03de8652a5
3
  size 343242432