Hugging Face's logo

kevinoli
/
clip-finetuned-csu-p14-336-e3l58-l

Zero-Shot Image Classification
Transformers
TensorBoard
Safetensors
clip
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
kevinoli commited on
Commit
dbabe6b
·
verified ·
1 Parent(s): 32850fb

Model save

Browse files
Files changed (2) hide show
  1. README.md +57 -33
  2. runs/Aug24_17-41-19_wolf-creek/events.out.tfevents.1724542900.wolf-creek.2226397.0 +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.9259
19
 
20
  ## Model description
21
 
@@ -46,38 +46,62 @@ The following hyperparameters were used during training:
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:------:|:-----:|:---------------:|
49
- | 0.3758 | 0.0921 | 500 | 1.4188 |
50
- | 0.4108 | 0.1842 | 1000 | 1.3514 |
51
- | 0.4335 | 0.2763 | 1500 | 1.2895 |
52
- | 0.3436 | 0.3685 | 2000 | 1.2415 |
53
- | 0.366 | 0.4606 | 2500 | 1.1949 |
54
- | 0.3191 | 0.5527 | 3000 | 1.1560 |
55
- | 0.2779 | 0.6448 | 3500 | 1.1234 |
56
- | 0.2942 | 0.7369 | 4000 | 1.0993 |
57
- | 0.2615 | 0.8290 | 4500 | 1.0805 |
58
- | 0.2715 | 0.9211 | 5000 | 1.0615 |
59
- | 0.2509 | 1.0133 | 5500 | 1.0462 |
60
- | 0.2653 | 1.1054 | 6000 | 1.0306 |
61
- | 0.2199 | 1.1975 | 6500 | 1.0183 |
62
- | 0.1844 | 1.2896 | 7000 | 1.0079 |
63
- | 0.2143 | 1.3817 | 7500 | 0.9970 |
64
- | 0.2011 | 1.4738 | 8000 | 0.9887 |
65
- | 0.1995 | 1.5660 | 8500 | 0.9807 |
66
- | 0.2493 | 1.6581 | 9000 | 0.9733 |
67
- | 0.2192 | 1.7502 | 9500 | 0.9669 |
68
- | 0.1882 | 1.8423 | 10000 | 0.9616 |
69
- | 0.2193 | 1.9344 | 10500 | 0.9551 |
70
- | 0.2148 | 2.0265 | 11000 | 0.9495 |
71
- | 0.1975 | 2.1186 | 11500 | 0.9449 |
72
- | 0.1791 | 2.2108 | 12000 | 0.9409 |
73
- | 0.2057 | 2.3029 | 12500 | 0.9382 |
74
- | 0.2037 | 2.3950 | 13000 | 0.9352 |
75
- | 0.2011 | 2.4871 | 13500 | 0.9318 |
76
- | 0.1551 | 2.5792 | 14000 | 0.9295 |
77
- | 0.1565 | 2.6713 | 14500 | 0.9279 |
78
- | 0.1963 | 2.7634 | 15000 | 0.9268 |
79
- | 0.1823 | 2.8556 | 15500 | 0.9262 |
80
- | 0.1854 | 2.9477 | 16000 | 0.9259 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81
 
82
 
83
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.8673
19
 
20
  ## Model description
21
 
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:------:|:-----:|:---------------:|
49
+ | 0.4667 | 0.0533 | 500 | 1.4428 |
50
+ | 0.4534 | 0.1067 | 1000 | 1.3823 |
51
+ | 0.3753 | 0.1600 | 1500 | 1.3329 |
52
+ | 0.3361 | 0.2133 | 2000 | 1.2923 |
53
+ | 0.3597 | 0.2666 | 2500 | 1.2572 |
54
+ | 0.3042 | 0.3200 | 3000 | 1.2241 |
55
+ | 0.3252 | 0.3733 | 3500 | 1.1989 |
56
+ | 0.2439 | 0.4266 | 4000 | 1.1731 |
57
+ | 0.3004 | 0.4799 | 4500 | 1.1498 |
58
+ | 0.3205 | 0.5333 | 5000 | 1.1259 |
59
+ | 0.3091 | 0.5866 | 5500 | 1.1053 |
60
+ | 0.2657 | 0.6399 | 6000 | 1.0857 |
61
+ | 0.2251 | 0.6933 | 6500 | 1.0695 |
62
+ | 0.248 | 0.7466 | 7000 | 1.0536 |
63
+ | 0.2745 | 0.7999 | 7500 | 1.0389 |
64
+ | 0.2857 | 0.8532 | 8000 | 1.0260 |
65
+ | 0.2365 | 0.9066 | 8500 | 1.0136 |
66
+ | 0.2382 | 0.9599 | 9000 | 1.0034 |
67
+ | 0.2419 | 1.0132 | 9500 | 0.9945 |
68
+ | 0.2047 | 1.0666 | 10000 | 0.9851 |
69
+ | 0.2133 | 1.1199 | 10500 | 0.9760 |
70
+ | 0.207 | 1.1732 | 11000 | 0.9683 |
71
+ | 0.2369 | 1.2265 | 11500 | 0.9598 |
72
+ | 0.1834 | 1.2799 | 12000 | 0.9528 |
73
+ | 0.2002 | 1.3332 | 12500 | 0.9465 |
74
+ | 0.1918 | 1.3865 | 13000 | 0.9418 |
75
+ | 0.2264 | 1.4398 | 13500 | 0.9353 |
76
+ | 0.171 | 1.4932 | 14000 | 0.9308 |
77
+ | 0.2029 | 1.5465 | 14500 | 0.9262 |
78
+ | 0.173 | 1.5998 | 15000 | 0.9224 |
79
+ | 0.2126 | 1.6532 | 15500 | 0.9170 |
80
+ | 0.1933 | 1.7065 | 16000 | 0.9142 |
81
+ | 0.1911 | 1.7598 | 16500 | 0.9099 |
82
+ | 0.1809 | 1.8131 | 17000 | 0.9075 |
83
+ | 0.2699 | 1.8665 | 17500 | 0.9023 |
84
+ | 0.1682 | 1.9198 | 18000 | 0.8993 |
85
+ | 0.2248 | 1.9731 | 18500 | 0.8949 |
86
+ | 0.1892 | 2.0265 | 19000 | 0.8924 |
87
+ | 0.1907 | 2.0798 | 19500 | 0.8893 |
88
+ | 0.1661 | 2.1331 | 20000 | 0.8872 |
89
+ | 0.1852 | 2.1864 | 20500 | 0.8856 |
90
+ | 0.1561 | 2.2398 | 21000 | 0.8830 |
91
+ | 0.2146 | 2.2931 | 21500 | 0.8808 |
92
+ | 0.16 | 2.3464 | 22000 | 0.8786 |
93
+ | 0.1904 | 2.3997 | 22500 | 0.8766 |
94
+ | 0.1746 | 2.4531 | 23000 | 0.8748 |
95
+ | 0.1767 | 2.5064 | 23500 | 0.8738 |
96
+ | 0.1922 | 2.5597 | 24000 | 0.8721 |
97
+ | 0.1556 | 2.6131 | 24500 | 0.8708 |
98
+ | 0.1388 | 2.6664 | 25000 | 0.8700 |
99
+ | 0.1766 | 2.7197 | 25500 | 0.8694 |
100
+ | 0.1615 | 2.7730 | 26000 | 0.8684 |
101
+ | 0.1591 | 2.8264 | 26500 | 0.8680 |
102
+ | 0.1812 | 2.8797 | 27000 | 0.8675 |
103
+ | 0.1408 | 2.9330 | 27500 | 0.8673 |
104
+ | 0.191 | 2.9863 | 28000 | 0.8673 |
105
 
106
 
107
  ### Framework versions
runs/Aug24_17-41-19_wolf-creek/events.out.tfevents.1724542900.wolf-creek.2226397.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1c64766fc4c53489ad8f21e0e60c4fafd6add647fa3422e37b4ee9627b987958
3
- size 62234
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e02ef50f48f10e44b8c84b88c2dad5ee9aa3e642d0dea6f1f4f1c96fb2651745
3
+ size 62594