Hugging Face's logo

bryanzhou008
/
vit-base-patch16-224-in21k-finetuned-inaturalist

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
bryanzhou008 commited on
Commit
9f604a4
•
1 Parent(s): 4aae2b1

Model save

Browse files
Files changed (2) hide show
  1. README.md +90 -85
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9483333333333334
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  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.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 1.0056
37
- - Accuracy: 0.9483
38
 
39
  ## Model description
40
 
@@ -66,88 +66,93 @@ The following hyperparameters were used during training:
66
 
67
  ### Training results
68
 
69
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
71
- | No log | 0.8 | 2 | 3.2007 | 0.0333 |
72
- | No log | 2.0 | 5 | 3.1889 | 0.0444 |
73
- | No log | 2.8 | 7 | 3.1747 | 0.0639 |
74
- | 3.1888 | 4.0 | 10 | 3.1442 | 0.1097 |
75
- | 3.1888 | 4.8 | 12 | 3.1183 | 0.1458 |
76
- | 3.1888 | 6.0 | 15 | 3.0710 | 0.2194 |
77
- | 3.1888 | 6.8 | 17 | 3.0331 | 0.3042 |
78
- | 3.0673 | 8.0 | 20 | 2.9627 | 0.4389 |
79
- | 3.0673 | 8.8 | 22 | 2.9109 | 0.4944 |
80
- | 3.0673 | 10.0 | 25 | 2.8360 | 0.5764 |
81
- | 3.0673 | 10.8 | 27 | 2.7809 | 0.6056 |
82
- | 2.8151 | 12.0 | 30 | 2.6958 | 0.6542 |
83
- | 2.8151 | 12.8 | 32 | 2.6401 | 0.6764 |
84
- | 2.8151 | 14.0 | 35 | 2.5583 | 0.6944 |
85
- | 2.8151 | 14.8 | 37 | 2.5034 | 0.7083 |
86
- | 2.5143 | 16.0 | 40 | 2.4202 | 0.7347 |
87
- | 2.5143 | 16.8 | 42 | 2.3662 | 0.7375 |
88
- | 2.5143 | 18.0 | 45 | 2.2884 | 0.7444 |
89
- | 2.5143 | 18.8 | 47 | 2.2374 | 0.7569 |
90
- | 2.2236 | 20.0 | 50 | 2.1632 | 0.7778 |
91
- | 2.2236 | 20.8 | 52 | 2.1175 | 0.7833 |
92
- | 2.2236 | 22.0 | 55 | 2.0528 | 0.7931 |
93
- | 2.2236 | 22.8 | 57 | 2.0099 | 0.7958 |
94
- | 1.9677 | 24.0 | 60 | 1.9488 | 0.8014 |
95
- | 1.9677 | 24.8 | 62 | 1.9113 | 0.8097 |
96
- | 1.9677 | 26.0 | 65 | 1.8582 | 0.8139 |
97
- | 1.9677 | 26.8 | 67 | 1.8242 | 0.8139 |
98
- | 1.7467 | 28.0 | 70 | 1.7740 | 0.8111 |
99
- | 1.7467 | 28.8 | 72 | 1.7458 | 0.8056 |
100
- | 1.7467 | 30.0 | 75 | 1.7013 | 0.8181 |
101
- | 1.7467 | 30.8 | 77 | 1.6714 | 0.8194 |
102
- | 1.5765 | 32.0 | 80 | 1.6316 | 0.8264 |
103
- | 1.5765 | 32.8 | 82 | 1.6083 | 0.8236 |
104
- | 1.5765 | 34.0 | 85 | 1.5738 | 0.8292 |
105
- | 1.5765 | 34.8 | 87 | 1.5531 | 0.8347 |
106
- | 1.4431 | 36.0 | 90 | 1.5228 | 0.8431 |
107
- | 1.4431 | 36.8 | 92 | 1.5046 | 0.8444 |
108
- | 1.4431 | 38.0 | 95 | 1.4780 | 0.8472 |
109
- | 1.4431 | 38.8 | 97 | 1.4608 | 0.8458 |
110
- | 1.3049 | 40.0 | 100 | 1.4357 | 0.8458 |
111
- | 1.3049 | 40.8 | 102 | 1.4188 | 0.85 |
112
- | 1.3049 | 42.0 | 105 | 1.3949 | 0.8528 |
113
- | 1.3049 | 42.8 | 107 | 1.3808 | 0.8528 |
114
- | 1.2312 | 44.0 | 110 | 1.3636 | 0.8458 |
115
- | 1.2312 | 44.8 | 112 | 1.3513 | 0.8486 |
116
- | 1.2312 | 46.0 | 115 | 1.3329 | 0.8528 |
117
- | 1.2312 | 46.8 | 117 | 1.3193 | 0.8528 |
118
- | 1.1368 | 48.0 | 120 | 1.3025 | 0.8528 |
119
- | 1.1368 | 48.8 | 122 | 1.2945 | 0.8542 |
120
- | 1.1368 | 50.0 | 125 | 1.2820 | 0.8528 |
121
- | 1.1368 | 50.8 | 127 | 1.2705 | 0.8569 |
122
- | 1.0821 | 52.0 | 130 | 1.2616 | 0.8583 |
123
- | 1.0821 | 52.8 | 132 | 1.2545 | 0.8556 |
124
- | 1.0821 | 54.0 | 135 | 1.2423 | 0.8542 |
125
- | 1.0821 | 54.8 | 137 | 1.2332 | 0.8597 |
126
- | 1.0232 | 56.0 | 140 | 1.2210 | 0.8639 |
127
- | 1.0232 | 56.8 | 142 | 1.2161 | 0.8625 |
128
- | 1.0232 | 58.0 | 145 | 1.2094 | 0.8569 |
129
- | 1.0232 | 58.8 | 147 | 1.2057 | 0.8542 |
130
- | 0.9814 | 60.0 | 150 | 1.1973 | 0.85 |
131
- | 0.9814 | 60.8 | 152 | 1.1919 | 0.8486 |
132
- | 0.9814 | 62.0 | 155 | 1.1825 | 0.8625 |
133
- | 0.9814 | 62.8 | 157 | 1.1799 | 0.8597 |
134
- | 0.9415 | 64.0 | 160 | 1.1716 | 0.8597 |
135
- | 0.9415 | 64.8 | 162 | 1.1665 | 0.8625 |
136
- | 0.9415 | 66.0 | 165 | 1.1611 | 0.8639 |
137
- | 0.9415 | 66.8 | 167 | 1.1600 | 0.8625 |
138
- | 0.9135 | 68.0 | 170 | 1.1577 | 0.8639 |
139
- | 0.9135 | 68.8 | 172 | 1.1547 | 0.8639 |
140
- | 0.9135 | 70.0 | 175 | 1.1493 | 0.8639 |
141
- | 0.9135 | 70.8 | 177 | 1.1464 | 0.8611 |
142
- | 0.8946 | 72.0 | 180 | 1.1423 | 0.8556 |
143
- | 0.8946 | 72.8 | 182 | 1.1402 | 0.8611 |
144
- | 0.8946 | 74.0 | 185 | 1.1375 | 0.8583 |
145
- | 0.8946 | 74.8 | 187 | 1.1360 | 0.8597 |
146
- | 0.8866 | 76.0 | 190 | 1.1344 | 0.8625 |
147
- | 0.8866 | 76.8 | 192 | 1.1334 | 0.8639 |
148
- | 0.8866 | 78.0 | 195 | 1.1324 | 0.8639 |
149
- | 0.8866 | 78.8 | 197 | 1.1320 | 0.8639 |
150
- | 0.8798 | 80.0 | 200 | 1.1319 | 0.8639 |
 
 
 
 
 
151
 
152
 
153
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.8541666666666666
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  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.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.7703
37
+ - Accuracy: 0.8542
38
 
39
  ## Model description
40
 
 
66
 
67
  ### Training results
68
 
69
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
+ | No log | 0.8421 | 4 | 3.1793 | 0.0347 |
72
+ | No log | 1.8947 | 9 | 3.1647 | 0.0486 |
73
+ | 3.1648 | 2.9474 | 14 | 3.1382 | 0.0944 |
74
+ | 3.1648 | 4.0 | 19 | 3.0995 | 0.1556 |
75
+ | 3.0817 | 4.8421 | 23 | 3.0555 | 0.2639 |
76
+ | 3.0817 | 5.8947 | 28 | 2.9849 | 0.3889 |
77
+ | 2.9167 | 6.9474 | 33 | 2.8932 | 0.5139 |
78
+ | 2.9167 | 8.0 | 38 | 2.7775 | 0.5972 |
79
+ | 2.6682 | 8.8421 | 42 | 2.6706 | 0.6528 |
80
+ | 2.6682 | 9.8947 | 47 | 2.5233 | 0.7069 |
81
+ | 2.3659 | 10.9474 | 52 | 2.3859 | 0.7375 |
82
+ | 2.3659 | 12.0 | 57 | 2.2546 | 0.75 |
83
+ | 2.079 | 12.8421 | 61 | 2.1531 | 0.7528 |
84
+ | 2.079 | 13.8947 | 66 | 2.0372 | 0.75 |
85
+ | 1.828 | 14.9474 | 71 | 1.9339 | 0.7597 |
86
+ | 1.828 | 16.0 | 76 | 1.8403 | 0.7694 |
87
+ | 1.6253 | 16.8421 | 80 | 1.7733 | 0.7764 |
88
+ | 1.6253 | 17.8947 | 85 | 1.6914 | 0.7903 |
89
+ | 1.4502 | 18.9474 | 90 | 1.6153 | 0.7875 |
90
+ | 1.4502 | 20.0 | 95 | 1.5510 | 0.7986 |
91
+ | 1.4502 | 20.8421 | 99 | 1.5016 | 0.8 |
92
+ | 1.2959 | 21.8947 | 104 | 1.4454 | 0.8222 |
93
+ | 1.2959 | 22.9474 | 109 | 1.3912 | 0.8181 |
94
+ | 1.1802 | 24.0 | 114 | 1.3390 | 0.8333 |
95
+ | 1.1802 | 24.8421 | 118 | 1.2995 | 0.8333 |
96
+ | 1.0629 | 25.8947 | 123 | 1.2707 | 0.8389 |
97
+ | 1.0629 | 26.9474 | 128 | 1.2335 | 0.8361 |
98
+ | 0.9801 | 28.0 | 133 | 1.1975 | 0.8444 |
99
+ | 0.9801 | 28.8421 | 137 | 1.1672 | 0.8389 |
100
+ | 0.9076 | 29.8947 | 142 | 1.1338 | 0.8444 |
101
+ | 0.9076 | 30.9474 | 147 | 1.1137 | 0.8472 |
102
+ | 0.8349 | 32.0 | 152 | 1.0855 | 0.8528 |
103
+ | 0.8349 | 32.8421 | 156 | 1.0717 | 0.8542 |
104
+ | 0.7782 | 33.8947 | 161 | 1.0483 | 0.8514 |
105
+ | 0.7782 | 34.9474 | 166 | 1.0352 | 0.85 |
106
+ | 0.7208 | 36.0 | 171 | 1.0202 | 0.8556 |
107
+ | 0.7208 | 36.8421 | 175 | 0.9994 | 0.8486 |
108
+ | 0.6708 | 37.8947 | 180 | 0.9814 | 0.8556 |
109
+ | 0.6708 | 38.9474 | 185 | 0.9691 | 0.8542 |
110
+ | 0.6303 | 40.0 | 190 | 0.9599 | 0.8486 |
111
+ | 0.6303 | 40.8421 | 194 | 0.9422 | 0.8472 |
112
+ | 0.6303 | 41.8947 | 199 | 0.9278 | 0.8486 |
113
+ | 0.6018 | 42.9474 | 204 | 0.9172 | 0.8528 |
114
+ | 0.6018 | 44.0 | 209 | 0.9093 | 0.8514 |
115
+ | 0.5622 | 44.8421 | 213 | 0.9030 | 0.8583 |
116
+ | 0.5622 | 45.8947 | 218 | 0.8972 | 0.8625 |
117
+ | 0.5474 | 46.9474 | 223 | 0.8859 | 0.8569 |
118
+ | 0.5474 | 48.0 | 228 | 0.8858 | 0.8653 |
119
+ | 0.5254 | 48.8421 | 232 | 0.8779 | 0.8556 |
120
+ | 0.5254 | 49.8947 | 237 | 0.8635 | 0.8569 |
121
+ | 0.5036 | 50.9474 | 242 | 0.8563 | 0.8611 |
122
+ | 0.5036 | 52.0 | 247 | 0.8613 | 0.8542 |
123
+ | 0.4855 | 52.8421 | 251 | 0.8546 | 0.8625 |
124
+ | 0.4855 | 53.8947 | 256 | 0.8469 | 0.8597 |
125
+ | 0.4697 | 54.9474 | 261 | 0.8327 | 0.8528 |
126
+ | 0.4697 | 56.0 | 266 | 0.8268 | 0.8597 |
127
+ | 0.4482 | 56.8421 | 270 | 0.8188 | 0.8556 |
128
+ | 0.4482 | 57.8947 | 275 | 0.8171 | 0.8653 |
129
+ | 0.4436 | 58.9474 | 280 | 0.8133 | 0.8486 |
130
+ | 0.4436 | 60.0 | 285 | 0.8070 | 0.8639 |
131
+ | 0.4436 | 60.8421 | 289 | 0.7986 | 0.8542 |
132
+ | 0.4211 | 61.8947 | 294 | 0.7937 | 0.8597 |
133
+ | 0.4211 | 62.9474 | 299 | 0.7908 | 0.8611 |
134
+ | 0.4228 | 64.0 | 304 | 0.7952 | 0.8625 |
135
+ | 0.4228 | 64.8421 | 308 | 0.8010 | 0.8514 |
136
+ | 0.4046 | 65.8947 | 313 | 0.7975 | 0.8472 |
137
+ | 0.4046 | 66.9474 | 318 | 0.7927 | 0.8417 |
138
+ | 0.4048 | 68.0 | 323 | 0.7880 | 0.8556 |
139
+ | 0.4048 | 68.8421 | 327 | 0.7860 | 0.8514 |
140
+ | 0.3925 | 69.8947 | 332 | 0.7899 | 0.8403 |
141
+ | 0.3925 | 70.9474 | 337 | 0.7883 | 0.8417 |
142
+ | 0.3936 | 72.0 | 342 | 0.7885 | 0.8417 |
143
+ | 0.3936 | 72.8421 | 346 | 0.7874 | 0.8361 |
144
+ | 0.3985 | 73.8947 | 351 | 0.7832 | 0.8417 |
145
+ | 0.3985 | 74.9474 | 356 | 0.7787 | 0.8514 |
146
+ | 0.3849 | 76.0 | 361 | 0.7753 | 0.8486 |
147
+ | 0.3849 | 76.8421 | 365 | 0.7746 | 0.8514 |
148
+ | 0.3796 | 77.8947 | 370 | 0.7736 | 0.8542 |
149
+ | 0.3796 | 78.9474 | 375 | 0.7731 | 0.8528 |
150
+ | 0.3717 | 80.0 | 380 | 0.7715 | 0.8556 |
151
+ | 0.3717 | 80.8421 | 384 | 0.7709 | 0.8556 |
152
+ | 0.3717 | 81.8947 | 389 | 0.7706 | 0.8569 |
153
+ | 0.3802 | 82.9474 | 394 | 0.7704 | 0.8556 |
154
+ | 0.3802 | 84.0 | 399 | 0.7704 | 0.8542 |
155
+ | 0.3782 | 84.2105 | 400 | 0.7703 | 0.8542 |
156
 
157
 
158
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d764fcb4a7e37e200cbafb5a656d6d3ceec45344d6e25e3ecbaa949a20951797
3
  size 343291648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66cd604316d329088b4e28b91faeda5434062a63bceea19ff6379a979a77fee7
3
  size 343291648