Hugging Face's logo

jordyvl
/
dit-base_tobacco-small_tobacco3482_kd_MSE

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Community
jordyvl commited on
Commit
c98ab58
•
1 Parent(s): 5d39d8f

Saving best model to hub

Browse files
Files changed (8) hide show
  1. README.md +166 -0
  2. config.json +48 -0
  3. model.safetensors +3 -0
  4. test-logits.npz +3 -0
  5. test-references.npz +3 -0
  6. training_args.bin +3 -0
  7. validation-logits.npz +3 -0
  8. validation-references.npz +3 -0
README.md ADDED
@@ -0,0 +1,166 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: WinKawaks/vit-small-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: dit-base_tobacco-small_tobacco3482_kd_MSE
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
+ # dit-base_tobacco-small_tobacco3482_kd_MSE
17
+
18
+ This model is a fine-tuned version of [WinKawaks/vit-small-patch16-224](https://huggingface.co/WinKawaks/vit-small-patch16-224) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.7746
21
+ - Accuracy: 0.81
22
+ - Brier Loss: 0.2775
23
+ - Nll: 1.1981
24
+ - F1 Micro: 0.81
25
+ - F1 Macro: 0.7980
26
+ - Ece: 0.1403
27
+ - Aurc: 0.0500
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 0.0001
47
+ - train_batch_size: 128
48
+ - eval_batch_size: 128
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 100
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll | F1 Micro | F1 Macro | Ece | Aurc |
58
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
59
+ | No log | 1.0 | 7 | 7.0083 | 0.14 | 0.9250 | 5.4655 | 0.14 | 0.1468 | 0.2824 | 0.8920 |
60
+ | No log | 2.0 | 14 | 5.8247 | 0.35 | 0.7844 | 3.6804 | 0.35 | 0.2240 | 0.2541 | 0.5601 |
61
+ | No log | 3.0 | 21 | 4.1788 | 0.49 | 0.6140 | 1.8305 | 0.49 | 0.4563 | 0.2512 | 0.2825 |
62
+ | No log | 4.0 | 28 | 2.7911 | 0.66 | 0.4534 | 1.6541 | 0.66 | 0.5604 | 0.2299 | 0.1475 |
63
+ | No log | 5.0 | 35 | 2.3354 | 0.74 | 0.3892 | 1.8678 | 0.74 | 0.6851 | 0.2104 | 0.0989 |
64
+ | No log | 6.0 | 42 | 1.9675 | 0.73 | 0.3585 | 1.3943 | 0.7300 | 0.6822 | 0.1846 | 0.0930 |
65
+ | No log | 7.0 | 49 | 1.7187 | 0.79 | 0.3190 | 1.3921 | 0.79 | 0.7510 | 0.1739 | 0.0760 |
66
+ | No log | 8.0 | 56 | 1.6507 | 0.77 | 0.3469 | 1.3682 | 0.7700 | 0.7289 | 0.1834 | 0.0851 |
67
+ | No log | 9.0 | 63 | 1.2713 | 0.79 | 0.3040 | 1.4042 | 0.79 | 0.7622 | 0.1505 | 0.0540 |
68
+ | No log | 10.0 | 70 | 1.1461 | 0.805 | 0.2852 | 1.3953 | 0.805 | 0.7849 | 0.1371 | 0.0522 |
69
+ | No log | 11.0 | 77 | 1.1328 | 0.81 | 0.2713 | 1.3113 | 0.81 | 0.7901 | 0.1371 | 0.0442 |
70
+ | No log | 12.0 | 84 | 1.2818 | 0.8 | 0.3192 | 1.2680 | 0.8000 | 0.7808 | 0.1674 | 0.0725 |
71
+ | No log | 13.0 | 91 | 1.0493 | 0.805 | 0.2767 | 1.2512 | 0.805 | 0.7846 | 0.1451 | 0.0535 |
72
+ | No log | 14.0 | 98 | 0.9657 | 0.815 | 0.2802 | 1.1796 | 0.815 | 0.7965 | 0.1680 | 0.0487 |
73
+ | No log | 15.0 | 105 | 0.9910 | 0.82 | 0.2695 | 1.3658 | 0.82 | 0.8000 | 0.1400 | 0.0475 |
74
+ | No log | 16.0 | 112 | 0.9828 | 0.81 | 0.2823 | 1.3175 | 0.81 | 0.7974 | 0.1390 | 0.0549 |
75
+ | No log | 17.0 | 119 | 0.9279 | 0.8 | 0.2815 | 1.3727 | 0.8000 | 0.7882 | 0.1599 | 0.0454 |
76
+ | No log | 18.0 | 126 | 1.0076 | 0.805 | 0.2929 | 1.2999 | 0.805 | 0.7825 | 0.1480 | 0.0562 |
77
+ | No log | 19.0 | 133 | 0.9524 | 0.82 | 0.2705 | 1.3029 | 0.82 | 0.8122 | 0.1481 | 0.0454 |
78
+ | No log | 20.0 | 140 | 1.0584 | 0.795 | 0.3010 | 1.3019 | 0.795 | 0.7699 | 0.1669 | 0.0650 |
79
+ | No log | 21.0 | 147 | 0.9390 | 0.805 | 0.2775 | 1.4073 | 0.805 | 0.7888 | 0.1211 | 0.0513 |
80
+ | No log | 22.0 | 154 | 0.9857 | 0.81 | 0.2895 | 1.2894 | 0.81 | 0.7879 | 0.1469 | 0.0548 |
81
+ | No log | 23.0 | 161 | 0.9137 | 0.795 | 0.2809 | 1.4461 | 0.795 | 0.7872 | 0.1528 | 0.0472 |
82
+ | No log | 24.0 | 168 | 0.8545 | 0.815 | 0.2844 | 1.2582 | 0.815 | 0.7981 | 0.1466 | 0.0484 |
83
+ | No log | 25.0 | 175 | 0.8860 | 0.81 | 0.2766 | 1.4525 | 0.81 | 0.8010 | 0.1241 | 0.0457 |
84
+ | No log | 26.0 | 182 | 0.8624 | 0.83 | 0.2813 | 1.1993 | 0.83 | 0.8222 | 0.1536 | 0.0512 |
85
+ | No log | 27.0 | 189 | 0.9119 | 0.805 | 0.2894 | 1.4164 | 0.805 | 0.7869 | 0.1576 | 0.0519 |
86
+ | No log | 28.0 | 196 | 0.9072 | 0.82 | 0.2753 | 1.2927 | 0.82 | 0.8149 | 0.1292 | 0.0514 |
87
+ | No log | 29.0 | 203 | 0.8428 | 0.8 | 0.2805 | 1.3065 | 0.8000 | 0.7820 | 0.1368 | 0.0502 |
88
+ | No log | 30.0 | 210 | 0.8696 | 0.81 | 0.2858 | 1.2825 | 0.81 | 0.7989 | 0.1454 | 0.0524 |
89
+ | No log | 31.0 | 217 | 0.8542 | 0.8 | 0.2861 | 1.2029 | 0.8000 | 0.7766 | 0.1412 | 0.0496 |
90
+ | No log | 32.0 | 224 | 0.8576 | 0.805 | 0.2896 | 1.3371 | 0.805 | 0.7814 | 0.1513 | 0.0515 |
91
+ | No log | 33.0 | 231 | 0.8615 | 0.8 | 0.2859 | 1.2347 | 0.8000 | 0.7826 | 0.1473 | 0.0522 |
92
+ | No log | 34.0 | 238 | 0.8474 | 0.805 | 0.2807 | 1.3510 | 0.805 | 0.7946 | 0.1493 | 0.0524 |
93
+ | No log | 35.0 | 245 | 0.9058 | 0.79 | 0.3035 | 1.2005 | 0.79 | 0.7768 | 0.1497 | 0.0553 |
94
+ | No log | 36.0 | 252 | 0.8461 | 0.805 | 0.2897 | 1.2770 | 0.805 | 0.7906 | 0.1599 | 0.0513 |
95
+ | No log | 37.0 | 259 | 0.8461 | 0.805 | 0.2962 | 1.1989 | 0.805 | 0.7912 | 0.1527 | 0.0533 |
96
+ | No log | 38.0 | 266 | 0.8646 | 0.815 | 0.2817 | 1.3653 | 0.815 | 0.8031 | 0.1355 | 0.0499 |
97
+ | No log | 39.0 | 273 | 0.8306 | 0.8 | 0.2905 | 1.1852 | 0.8000 | 0.7862 | 0.1528 | 0.0549 |
98
+ | No log | 40.0 | 280 | 0.8561 | 0.815 | 0.2838 | 1.2577 | 0.815 | 0.8005 | 0.1431 | 0.0544 |
99
+ | No log | 41.0 | 287 | 0.8236 | 0.805 | 0.2836 | 1.2093 | 0.805 | 0.7925 | 0.1376 | 0.0490 |
100
+ | No log | 42.0 | 294 | 0.8221 | 0.805 | 0.2853 | 1.1929 | 0.805 | 0.7805 | 0.1397 | 0.0524 |
101
+ | No log | 43.0 | 301 | 0.7834 | 0.815 | 0.2666 | 1.2720 | 0.815 | 0.8006 | 0.1316 | 0.0496 |
102
+ | No log | 44.0 | 308 | 0.8022 | 0.8 | 0.2839 | 1.2009 | 0.8000 | 0.7870 | 0.1457 | 0.0514 |
103
+ | No log | 45.0 | 315 | 0.8009 | 0.81 | 0.2735 | 1.3505 | 0.81 | 0.7970 | 0.1359 | 0.0494 |
104
+ | No log | 46.0 | 322 | 0.8029 | 0.81 | 0.2775 | 1.1956 | 0.81 | 0.7983 | 0.1476 | 0.0509 |
105
+ | No log | 47.0 | 329 | 0.7979 | 0.82 | 0.2818 | 1.2005 | 0.82 | 0.8049 | 0.1466 | 0.0488 |
106
+ | No log | 48.0 | 336 | 0.7763 | 0.815 | 0.2784 | 1.1905 | 0.815 | 0.7970 | 0.1358 | 0.0512 |
107
+ | No log | 49.0 | 343 | 0.7917 | 0.81 | 0.2802 | 1.2136 | 0.81 | 0.7989 | 0.1429 | 0.0486 |
108
+ | No log | 50.0 | 350 | 0.8223 | 0.825 | 0.2809 | 1.1860 | 0.825 | 0.8042 | 0.1567 | 0.0520 |
109
+ | No log | 51.0 | 357 | 0.7952 | 0.82 | 0.2747 | 1.2074 | 0.82 | 0.8078 | 0.1377 | 0.0484 |
110
+ | No log | 52.0 | 364 | 0.7868 | 0.825 | 0.2714 | 1.2850 | 0.825 | 0.8170 | 0.1371 | 0.0476 |
111
+ | No log | 53.0 | 371 | 0.8111 | 0.805 | 0.2869 | 1.1892 | 0.805 | 0.7954 | 0.1467 | 0.0524 |
112
+ | No log | 54.0 | 378 | 0.7739 | 0.81 | 0.2755 | 1.1946 | 0.81 | 0.7953 | 0.1567 | 0.0486 |
113
+ | No log | 55.0 | 385 | 0.7930 | 0.825 | 0.2825 | 1.2000 | 0.825 | 0.8087 | 0.1546 | 0.0518 |
114
+ | No log | 56.0 | 392 | 0.7826 | 0.815 | 0.2789 | 1.1953 | 0.815 | 0.8031 | 0.1353 | 0.0514 |
115
+ | No log | 57.0 | 399 | 0.7716 | 0.82 | 0.2714 | 1.3115 | 0.82 | 0.8079 | 0.1207 | 0.0470 |
116
+ | No log | 58.0 | 406 | 0.8036 | 0.815 | 0.2878 | 1.1875 | 0.815 | 0.7945 | 0.1469 | 0.0531 |
117
+ | No log | 59.0 | 413 | 0.7714 | 0.82 | 0.2722 | 1.2787 | 0.82 | 0.8128 | 0.1264 | 0.0467 |
118
+ | No log | 60.0 | 420 | 0.7671 | 0.825 | 0.2720 | 1.2722 | 0.825 | 0.8136 | 0.1378 | 0.0476 |
119
+ | No log | 61.0 | 427 | 0.7885 | 0.815 | 0.2834 | 1.1798 | 0.815 | 0.8007 | 0.1480 | 0.0526 |
120
+ | No log | 62.0 | 434 | 0.7621 | 0.82 | 0.2706 | 1.3459 | 0.82 | 0.8102 | 0.1156 | 0.0482 |
121
+ | No log | 63.0 | 441 | 0.7691 | 0.81 | 0.2797 | 1.1379 | 0.81 | 0.7959 | 0.1429 | 0.0506 |
122
+ | No log | 64.0 | 448 | 0.7699 | 0.81 | 0.2776 | 1.1964 | 0.81 | 0.7974 | 0.1473 | 0.0494 |
123
+ | No log | 65.0 | 455 | 0.7693 | 0.82 | 0.2739 | 1.2089 | 0.82 | 0.8106 | 0.1390 | 0.0481 |
124
+ | No log | 66.0 | 462 | 0.7891 | 0.81 | 0.2805 | 1.1989 | 0.81 | 0.7927 | 0.1530 | 0.0513 |
125
+ | No log | 67.0 | 469 | 0.7806 | 0.82 | 0.2798 | 1.2033 | 0.82 | 0.8068 | 0.1408 | 0.0485 |
126
+ | No log | 68.0 | 476 | 0.7877 | 0.82 | 0.2815 | 1.1896 | 0.82 | 0.8054 | 0.1376 | 0.0501 |
127
+ | No log | 69.0 | 483 | 0.7649 | 0.825 | 0.2731 | 1.1567 | 0.825 | 0.8155 | 0.1371 | 0.0479 |
128
+ | No log | 70.0 | 490 | 0.7740 | 0.82 | 0.2764 | 1.1929 | 0.82 | 0.8107 | 0.1250 | 0.0511 |
129
+ | No log | 71.0 | 497 | 0.7657 | 0.82 | 0.2744 | 1.2762 | 0.82 | 0.8068 | 0.1374 | 0.0488 |
130
+ | 0.4804 | 72.0 | 504 | 0.7887 | 0.805 | 0.2839 | 1.1851 | 0.805 | 0.7914 | 0.1524 | 0.0513 |
131
+ | 0.4804 | 73.0 | 511 | 0.7662 | 0.815 | 0.2759 | 1.1973 | 0.815 | 0.8010 | 0.1395 | 0.0496 |
132
+ | 0.4804 | 74.0 | 518 | 0.7706 | 0.825 | 0.2742 | 1.2020 | 0.825 | 0.8196 | 0.1398 | 0.0492 |
133
+ | 0.4804 | 75.0 | 525 | 0.7780 | 0.815 | 0.2802 | 1.1881 | 0.815 | 0.7970 | 0.1392 | 0.0505 |
134
+ | 0.4804 | 76.0 | 532 | 0.7731 | 0.825 | 0.2745 | 1.2695 | 0.825 | 0.8152 | 0.1548 | 0.0485 |
135
+ | 0.4804 | 77.0 | 539 | 0.7743 | 0.825 | 0.2762 | 1.2039 | 0.825 | 0.8109 | 0.1326 | 0.0490 |
136
+ | 0.4804 | 78.0 | 546 | 0.7782 | 0.805 | 0.2792 | 1.2001 | 0.805 | 0.7905 | 0.1381 | 0.0506 |
137
+ | 0.4804 | 79.0 | 553 | 0.7786 | 0.81 | 0.2807 | 1.1929 | 0.81 | 0.7980 | 0.1394 | 0.0505 |
138
+ | 0.4804 | 80.0 | 560 | 0.7759 | 0.82 | 0.2772 | 1.1973 | 0.82 | 0.8081 | 0.1296 | 0.0494 |
139
+ | 0.4804 | 81.0 | 567 | 0.7703 | 0.82 | 0.2758 | 1.2069 | 0.82 | 0.8096 | 0.1405 | 0.0491 |
140
+ | 0.4804 | 82.0 | 574 | 0.7749 | 0.81 | 0.2777 | 1.1996 | 0.81 | 0.7980 | 0.1502 | 0.0501 |
141
+ | 0.4804 | 83.0 | 581 | 0.7768 | 0.815 | 0.2777 | 1.2009 | 0.815 | 0.8052 | 0.1237 | 0.0496 |
142
+ | 0.4804 | 84.0 | 588 | 0.7761 | 0.815 | 0.2778 | 1.1986 | 0.815 | 0.8008 | 0.1333 | 0.0495 |
143
+ | 0.4804 | 85.0 | 595 | 0.7771 | 0.815 | 0.2780 | 1.1984 | 0.815 | 0.8008 | 0.1335 | 0.0497 |
144
+ | 0.4804 | 86.0 | 602 | 0.7755 | 0.81 | 0.2777 | 1.1987 | 0.81 | 0.7980 | 0.1327 | 0.0501 |
145
+ | 0.4804 | 87.0 | 609 | 0.7749 | 0.81 | 0.2776 | 1.1974 | 0.81 | 0.7980 | 0.1261 | 0.0499 |
146
+ | 0.4804 | 88.0 | 616 | 0.7746 | 0.815 | 0.2776 | 1.1981 | 0.815 | 0.8052 | 0.1238 | 0.0497 |
147
+ | 0.4804 | 89.0 | 623 | 0.7744 | 0.81 | 0.2776 | 1.1981 | 0.81 | 0.7980 | 0.1283 | 0.0500 |
148
+ | 0.4804 | 90.0 | 630 | 0.7743 | 0.81 | 0.2774 | 1.1987 | 0.81 | 0.7980 | 0.1346 | 0.0499 |
149
+ | 0.4804 | 91.0 | 637 | 0.7741 | 0.81 | 0.2774 | 1.1981 | 0.81 | 0.7980 | 0.1379 | 0.0499 |
150
+ | 0.4804 | 92.0 | 644 | 0.7742 | 0.81 | 0.2774 | 1.1982 | 0.81 | 0.7980 | 0.1403 | 0.0499 |
151
+ | 0.4804 | 93.0 | 651 | 0.7745 | 0.81 | 0.2775 | 1.1982 | 0.81 | 0.7980 | 0.1403 | 0.0500 |
152
+ | 0.4804 | 94.0 | 658 | 0.7746 | 0.81 | 0.2776 | 1.1978 | 0.81 | 0.7980 | 0.1316 | 0.0500 |
153
+ | 0.4804 | 95.0 | 665 | 0.7745 | 0.81 | 0.2775 | 1.1982 | 0.81 | 0.7980 | 0.1380 | 0.0499 |
154
+ | 0.4804 | 96.0 | 672 | 0.7746 | 0.81 | 0.2775 | 1.1981 | 0.81 | 0.7980 | 0.1315 | 0.0500 |
155
+ | 0.4804 | 97.0 | 679 | 0.7746 | 0.81 | 0.2775 | 1.1981 | 0.81 | 0.7980 | 0.1403 | 0.0500 |
156
+ | 0.4804 | 98.0 | 686 | 0.7746 | 0.81 | 0.2775 | 1.1981 | 0.81 | 0.7980 | 0.1403 | 0.0500 |
157
+ | 0.4804 | 99.0 | 693 | 0.7746 | 0.81 | 0.2775 | 1.1981 | 0.81 | 0.7980 | 0.1403 | 0.0500 |
158
+ | 0.4804 | 100.0 | 700 | 0.7746 | 0.81 | 0.2775 | 1.1981 | 0.81 | 0.7980 | 0.1403 | 0.0500 |
159
+
160
+
161
+ ### Framework versions
162
+
163
+ - Transformers 4.36.0.dev0
164
+ - Pytorch 2.2.0.dev20231112+cu118
165
+ - Datasets 2.14.5
166
+ - Tokenizers 0.14.1
config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "WinKawaks/vit-small-patch16-224",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 384,
11
+ "id2label": {
12
+ "0": "ADVE",
13
+ "1": "Email",
14
+ "2": "Form",
15
+ "3": "Letter",
16
+ "4": "Memo",
17
+ "5": "News",
18
+ "6": "Note",
19
+ "7": "Report",
20
+ "8": "Resume",
21
+ "9": "Scientific"
22
+ },
23
+ "image_size": 224,
24
+ "initializer_range": 0.02,
25
+ "intermediate_size": 1536,
26
+ "label2id": {
27
+ "ADVE": 0,
28
+ "Email": 1,
29
+ "Form": 2,
30
+ "Letter": 3,
31
+ "Memo": 4,
32
+ "News": 5,
33
+ "Note": 6,
34
+ "Report": 7,
35
+ "Resume": 8,
36
+ "Scientific": 9
37
+ },
38
+ "layer_norm_eps": 1e-12,
39
+ "model_type": "vit",
40
+ "num_attention_heads": 6,
41
+ "num_channels": 3,
42
+ "num_hidden_layers": 12,
43
+ "patch_size": 16,
44
+ "problem_type": "single_label_classification",
45
+ "qkv_bias": true,
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.36.0.dev0"
48
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a045aa6c7476975b20c063af95997162c6b81de2a85d5a4b0522c4c9f294649b
3
+ size 86700952
test-logits.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:771aea7575b7fb843edca61da30384463fb13bdaa11439d65d7a785e9468fdf7
3
+ size 92085
test-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2afcfdc977d6e963da44f7d0b6169569f722c36f36eb2c2798b49630510363b
3
+ size 2128
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d67162edf1d76594b6641e967ad181654193e2cf4ca7abb5c07f364ddcf1934c
3
+ size 4856
validation-logits.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:308df83691a3d96bf0b190cbfc1ed5c089bfe2496e3d8ca40182023b339afba6
3
+ size 7635
validation-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0354b78de1e153edfd908a412b596b1a05abea3df9a94323763cbb1ee2631790
3
+ size 423