Hugging Face's logo

CristianR8
/
vit-base-cocoa

Image Classification
Transformers
Safetensors
vit
vision
Generated from Trainer
Inference Endpoints
Model card Files Community
CristianR8 commited on
Commit
005437e
·
verified ·
1 Parent(s): 59a3baf

Model save

Browse files
Files changed (2) hide show
  1. README.md +160 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: google/vit-base-patch16-224
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: vit-base-cocoa
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # vit-base-cocoa
18
+
19
+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.5570
22
+ - Accuracy: 0.9350
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 2e-05
42
+ - train_batch_size: 8
43
+ - eval_batch_size: 8
44
+ - seed: 1337
45
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
+ - lr_scheduler_type: linear
47
+ - num_epochs: 100.0
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
53
+ | 0.3733 | 1.0 | 196 | 0.3558 | 0.9025 |
54
+ | 0.3727 | 2.0 | 392 | 0.4098 | 0.8989 |
55
+ | 0.3901 | 3.0 | 588 | 0.2668 | 0.8989 |
56
+ | 0.3421 | 4.0 | 784 | 0.2612 | 0.9170 |
57
+ | 0.2703 | 5.0 | 980 | 0.2061 | 0.9278 |
58
+ | 0.1734 | 6.0 | 1176 | 0.2568 | 0.9278 |
59
+ | 0.1385 | 7.0 | 1372 | 0.3242 | 0.9206 |
60
+ | 0.3237 | 8.0 | 1568 | 0.2922 | 0.9386 |
61
+ | 0.236 | 9.0 | 1764 | 0.3044 | 0.9386 |
62
+ | 0.2124 | 10.0 | 1960 | 0.3848 | 0.9061 |
63
+ | 0.0454 | 11.0 | 2156 | 0.3527 | 0.9350 |
64
+ | 0.0756 | 12.0 | 2352 | 0.2844 | 0.9350 |
65
+ | 0.0605 | 13.0 | 2548 | 0.3077 | 0.9314 |
66
+ | 0.0214 | 14.0 | 2744 | 0.6295 | 0.9025 |
67
+ | 0.1816 | 15.0 | 2940 | 0.2996 | 0.9386 |
68
+ | 0.0338 | 16.0 | 3136 | 0.3597 | 0.9278 |
69
+ | 0.2136 | 17.0 | 3332 | 0.4070 | 0.9314 |
70
+ | 0.188 | 18.0 | 3528 | 0.3532 | 0.9458 |
71
+ | 0.0539 | 19.0 | 3724 | 0.3843 | 0.9386 |
72
+ | 0.0992 | 20.0 | 3920 | 0.3904 | 0.9422 |
73
+ | 0.0019 | 21.0 | 4116 | 0.3732 | 0.9458 |
74
+ | 0.0348 | 22.0 | 4312 | 0.4021 | 0.9386 |
75
+ | 0.0823 | 23.0 | 4508 | 0.4217 | 0.9350 |
76
+ | 0.1125 | 24.0 | 4704 | 0.4704 | 0.9097 |
77
+ | 0.0173 | 25.0 | 4900 | 0.3700 | 0.9350 |
78
+ | 0.0442 | 26.0 | 5096 | 0.3725 | 0.9314 |
79
+ | 0.0009 | 27.0 | 5292 | 0.4819 | 0.9278 |
80
+ | 0.0087 | 28.0 | 5488 | 0.6492 | 0.9170 |
81
+ | 0.0021 | 29.0 | 5684 | 0.5297 | 0.9242 |
82
+ | 0.2552 | 30.0 | 5880 | 0.4482 | 0.9314 |
83
+ | 0.0154 | 31.0 | 6076 | 0.6075 | 0.9242 |
84
+ | 0.0009 | 32.0 | 6272 | 0.4101 | 0.9350 |
85
+ | 0.1626 | 33.0 | 6468 | 0.4653 | 0.9350 |
86
+ | 0.0276 | 34.0 | 6664 | 0.4174 | 0.9386 |
87
+ | 0.0139 | 35.0 | 6860 | 0.3992 | 0.9422 |
88
+ | 0.0023 | 36.0 | 7056 | 0.6972 | 0.9170 |
89
+ | 0.1264 | 37.0 | 7252 | 0.4980 | 0.9314 |
90
+ | 0.0113 | 38.0 | 7448 | 0.7154 | 0.9170 |
91
+ | 0.0694 | 39.0 | 7644 | 0.5443 | 0.9242 |
92
+ | 0.0976 | 40.0 | 7840 | 0.3852 | 0.9350 |
93
+ | 0.1191 | 41.0 | 8036 | 0.5398 | 0.9242 |
94
+ | 0.1249 | 42.0 | 8232 | 0.6197 | 0.9170 |
95
+ | 0.0002 | 43.0 | 8428 | 0.6967 | 0.9134 |
96
+ | 0.1163 | 44.0 | 8624 | 0.5697 | 0.9242 |
97
+ | 0.0201 | 45.0 | 8820 | 0.7221 | 0.9134 |
98
+ | 0.0003 | 46.0 | 9016 | 0.5253 | 0.9314 |
99
+ | 0.0224 | 47.0 | 9212 | 0.3817 | 0.9495 |
100
+ | 0.0183 | 48.0 | 9408 | 0.4966 | 0.9242 |
101
+ | 0.0077 | 49.0 | 9604 | 0.4349 | 0.9458 |
102
+ | 0.0083 | 50.0 | 9800 | 0.5191 | 0.9242 |
103
+ | 0.0571 | 51.0 | 9996 | 0.5826 | 0.9206 |
104
+ | 0.0583 | 52.0 | 10192 | 0.5335 | 0.9170 |
105
+ | 0.0019 | 53.0 | 10388 | 0.5843 | 0.9206 |
106
+ | 0.0044 | 54.0 | 10584 | 0.5895 | 0.9206 |
107
+ | 0.0065 | 55.0 | 10780 | 0.4487 | 0.9350 |
108
+ | 0.0126 | 56.0 | 10976 | 0.6221 | 0.9314 |
109
+ | 0.0093 | 57.0 | 11172 | 0.5138 | 0.9314 |
110
+ | 0.0004 | 58.0 | 11368 | 0.5162 | 0.9314 |
111
+ | 0.0002 | 59.0 | 11564 | 0.4514 | 0.9350 |
112
+ | 0.1463 | 60.0 | 11760 | 0.4744 | 0.9386 |
113
+ | 0.0001 | 61.0 | 11956 | 0.5338 | 0.9314 |
114
+ | 0.0006 | 62.0 | 12152 | 0.5788 | 0.9278 |
115
+ | 0.0269 | 63.0 | 12348 | 0.5500 | 0.9278 |
116
+ | 0.1 | 64.0 | 12544 | 0.6467 | 0.9206 |
117
+ | 0.0004 | 65.0 | 12740 | 0.5828 | 0.9242 |
118
+ | 0.0001 | 66.0 | 12936 | 0.5283 | 0.9314 |
119
+ | 0.0001 | 67.0 | 13132 | 0.6212 | 0.9206 |
120
+ | 0.0002 | 68.0 | 13328 | 0.4973 | 0.9242 |
121
+ | 0.0058 | 69.0 | 13524 | 0.5021 | 0.9278 |
122
+ | 0.0605 | 70.0 | 13720 | 0.6982 | 0.9170 |
123
+ | 0.0006 | 71.0 | 13916 | 0.4602 | 0.9350 |
124
+ | 0.0021 | 72.0 | 14112 | 0.5595 | 0.9314 |
125
+ | 0.0004 | 73.0 | 14308 | 0.4366 | 0.9386 |
126
+ | 0.0124 | 74.0 | 14504 | 0.7612 | 0.9134 |
127
+ | 0.0284 | 75.0 | 14700 | 0.6054 | 0.9206 |
128
+ | 0.0001 | 76.0 | 14896 | 0.5922 | 0.9242 |
129
+ | 0.0119 | 77.0 | 15092 | 0.5496 | 0.9242 |
130
+ | 0.0006 | 78.0 | 15288 | 0.6327 | 0.9206 |
131
+ | 0.0711 | 79.0 | 15484 | 0.5177 | 0.9386 |
132
+ | 0.0001 | 80.0 | 15680 | 0.7391 | 0.9134 |
133
+ | 0.0985 | 81.0 | 15876 | 0.5683 | 0.9242 |
134
+ | 0.0001 | 82.0 | 16072 | 0.6106 | 0.9206 |
135
+ | 0.0 | 83.0 | 16268 | 0.6235 | 0.9242 |
136
+ | 0.0006 | 84.0 | 16464 | 0.7914 | 0.9061 |
137
+ | 0.0001 | 85.0 | 16660 | 0.5649 | 0.9314 |
138
+ | 0.0 | 86.0 | 16856 | 0.5512 | 0.9350 |
139
+ | 0.066 | 87.0 | 17052 | 0.5473 | 0.9350 |
140
+ | 0.0189 | 88.0 | 17248 | 0.4866 | 0.9386 |
141
+ | 0.0 | 89.0 | 17444 | 0.5136 | 0.9386 |
142
+ | 0.0001 | 90.0 | 17640 | 0.5246 | 0.9350 |
143
+ | 0.0001 | 91.0 | 17836 | 0.5626 | 0.9314 |
144
+ | 0.0037 | 92.0 | 18032 | 0.5335 | 0.9350 |
145
+ | 0.0999 | 93.0 | 18228 | 0.6357 | 0.9242 |
146
+ | 0.1124 | 94.0 | 18424 | 0.5905 | 0.9278 |
147
+ | 0.0175 | 95.0 | 18620 | 0.6618 | 0.9206 |
148
+ | 0.0001 | 96.0 | 18816 | 0.5588 | 0.9386 |
149
+ | 0.0259 | 97.0 | 19012 | 0.5549 | 0.9350 |
150
+ | 0.0001 | 98.0 | 19208 | 0.5599 | 0.9350 |
151
+ | 0.0285 | 99.0 | 19404 | 0.5517 | 0.9350 |
152
+ | 0.003 | 100.0 | 19600 | 0.5570 | 0.9350 |
153
+
154
+
155
+ ### Framework versions
156
+
157
+ - Transformers 4.48.0.dev0
158
+ - Pytorch 2.5.1+cu124
159
+ - Datasets 3.1.0
160
+ - Tokenizers 0.21.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2940a163af670f21d8c9629d279b7e5cac6a6817346b8aa4a5dec5af2edd9338
3
  size 343236280
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c420f35c8d24d2a363f869ee42f80f9417c2175c8361e92f15d0a640722c24a
3
  size 343236280