Hugging Face's logo

NotSarahConnor1984
/
detr_finetuned_cppe5

Object Detection
Transformers
TensorBoard
Safetensors
conditional_detr
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
NotSarahConnor1984 commited on
Commit
a74657b
·
verified ·
1 Parent(s): a0a734b

End of training

Browse files
Files changed (4) hide show
  1. README.md +52 -52
  2. model.safetensors +1 -1
  3. runs/May30_13-56-47_LAPTOP-S45RK0KK/events.out.tfevents.1717073818.LAPTOP-S45RK0KK.14416.4 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,29 +15,29 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 1.3354
19
- - Map: 0.254
20
- - Map 50: 0.4976
21
- - Map 75: 0.219
22
- - Map Small: 0.1421
23
- - Map Medium: 0.1935
24
- - Map Large: 0.5146
25
- - Mar 1: 0.2769
26
- - Mar 10: 0.4288
27
- - Mar 100: 0.4504
28
- - Mar Small: 0.2575
29
- - Mar Medium: 0.4186
30
- - Mar Large: 0.7227
31
- - Map Coverall: 0.5401
32
- - Mar 100 Coverall: 0.6545
33
- - Map Face Shield: 0.176
34
- - Mar 100 Face Shield: 0.4823
35
  - Map Gloves: 0.1858
36
- - Mar 100 Gloves: 0.3558
37
- - Map Goggles: 0.0977
38
- - Mar 100 Goggles: 0.3692
39
- - Map Mask: 0.2704
40
- - Mar 100 Mask: 0.3902
41
 
42
  ## Model description
43
 
@@ -68,36 +68,36 @@ The following hyperparameters were used during training:
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
70
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
71
- | No log | 1.0 | 107 | 2.9643 | 0.0054 | 0.0169 | 0.002 | 0.002 | 0.0035 | 0.0043 | 0.0165 | 0.0514 | 0.0726 | 0.0283 | 0.0874 | 0.0509 | 0.0179 | 0.1032 | 0.0 | 0.0038 | 0.0013 | 0.0888 | 0.0 | 0.0 | 0.0079 | 0.1671 |
72
- | No log | 2.0 | 214 | 2.3325 | 0.0192 | 0.0457 | 0.0163 | 0.0033 | 0.0116 | 0.0248 | 0.0372 | 0.0841 | 0.1275 | 0.0715 | 0.0998 | 0.0922 | 0.0822 | 0.268 | 0.0 | 0.0038 | 0.0063 | 0.1647 | 0.0004 | 0.0062 | 0.0069 | 0.1947 |
73
- | No log | 3.0 | 321 | 2.1870 | 0.0329 | 0.0814 | 0.0225 | 0.0151 | 0.0316 | 0.0264 | 0.0674 | 0.165 | 0.2066 | 0.0848 | 0.1588 | 0.2268 | 0.0935 | 0.4923 | 0.0006 | 0.0101 | 0.0152 | 0.1844 | 0.0084 | 0.0769 | 0.0468 | 0.2693 |
74
- | No log | 4.0 | 428 | 2.1001 | 0.0536 | 0.1225 | 0.0355 | 0.0148 | 0.0502 | 0.0712 | 0.092 | 0.2315 | 0.2695 | 0.1138 | 0.2348 | 0.3572 | 0.1714 | 0.5563 | 0.0088 | 0.2177 | 0.0139 | 0.1674 | 0.0017 | 0.1015 | 0.0719 | 0.3044 |
75
- | 3.665 | 5.0 | 535 | 1.9227 | 0.0807 | 0.1893 | 0.0622 | 0.0222 | 0.0688 | 0.1137 | 0.1191 | 0.2672 | 0.3099 | 0.1383 | 0.2974 | 0.3749 | 0.2572 | 0.5297 | 0.0336 | 0.2772 | 0.0329 | 0.2804 | 0.008 | 0.18 | 0.0717 | 0.2822 |
76
- | 3.665 | 6.0 | 642 | 1.8063 | 0.1133 | 0.2503 | 0.0866 | 0.0308 | 0.0819 | 0.1767 | 0.1368 | 0.3026 | 0.3363 | 0.1535 | 0.3104 | 0.5421 | 0.3596 | 0.5694 | 0.0225 | 0.2595 | 0.052 | 0.3045 | 0.0068 | 0.2092 | 0.1254 | 0.3391 |
77
- | 3.665 | 7.0 | 749 | 1.7845 | 0.1208 | 0.277 | 0.0844 | 0.0357 | 0.0999 | 0.199 | 0.1459 | 0.3203 | 0.3543 | 0.1602 | 0.3211 | 0.6212 | 0.3715 | 0.5802 | 0.0481 | 0.3342 | 0.0463 | 0.2728 | 0.0137 | 0.24 | 0.1244 | 0.3444 |
78
- | 3.665 | 8.0 | 856 | 1.7145 | 0.1407 | 0.3438 | 0.0958 | 0.0485 | 0.1134 | 0.2726 | 0.1667 | 0.3294 | 0.3595 | 0.1399 | 0.348 | 0.6386 | 0.3986 | 0.5617 | 0.0431 | 0.3367 | 0.0823 | 0.2991 | 0.0448 | 0.2985 | 0.135 | 0.3013 |
79
- | 3.665 | 9.0 | 963 | 1.6198 | 0.1644 | 0.3581 | 0.1309 | 0.0602 | 0.1311 | 0.3269 | 0.175 | 0.3658 | 0.3918 | 0.1779 | 0.3666 | 0.6564 | 0.4438 | 0.6167 | 0.0648 | 0.4038 | 0.0899 | 0.2951 | 0.0446 | 0.3092 | 0.1786 | 0.3342 |
80
- | 1.6283 | 10.0 | 1070 | 1.5943 | 0.169 | 0.3681 | 0.1403 | 0.0482 | 0.1341 | 0.3704 | 0.1929 | 0.3721 | 0.3983 | 0.1821 | 0.3729 | 0.6762 | 0.4552 | 0.6005 | 0.0631 | 0.3848 | 0.1024 | 0.3147 | 0.0361 | 0.3323 | 0.1882 | 0.3591 |
81
- | 1.6283 | 11.0 | 1177 | 1.5213 | 0.1873 | 0.4032 | 0.1606 | 0.08 | 0.1467 | 0.4421 | 0.2234 | 0.3736 | 0.4026 | 0.2235 | 0.3569 | 0.6737 | 0.463 | 0.6045 | 0.096 | 0.4 | 0.1246 | 0.329 | 0.0427 | 0.3077 | 0.2103 | 0.372 |
82
- | 1.6283 | 12.0 | 1284 | 1.5158 | 0.1828 | 0.3919 | 0.1518 | 0.0773 | 0.1468 | 0.3745 | 0.2061 | 0.3658 | 0.4004 | 0.1976 | 0.3834 | 0.6472 | 0.4829 | 0.6153 | 0.0712 | 0.3848 | 0.1159 | 0.3161 | 0.0435 | 0.3338 | 0.2008 | 0.352 |
83
- | 1.6283 | 13.0 | 1391 | 1.5160 | 0.2013 | 0.448 | 0.1528 | 0.0948 | 0.1668 | 0.4382 | 0.225 | 0.3688 | 0.392 | 0.1644 | 0.3801 | 0.6836 | 0.468 | 0.6162 | 0.114 | 0.3658 | 0.1545 | 0.3446 | 0.0523 | 0.3046 | 0.2178 | 0.3289 |
84
- | 1.6283 | 14.0 | 1498 | 1.4882 | 0.2088 | 0.4525 | 0.1621 | 0.0902 | 0.1646 | 0.4488 | 0.2352 | 0.3774 | 0.4009 | 0.19 | 0.3764 | 0.7054 | 0.5001 | 0.6176 | 0.113 | 0.419 | 0.1515 | 0.3 | 0.0647 | 0.3123 | 0.2147 | 0.3556 |
85
- | 1.3045 | 15.0 | 1605 | 1.4353 | 0.2102 | 0.4416 | 0.1718 | 0.0896 | 0.1615 | 0.4522 | 0.2451 | 0.3886 | 0.4107 | 0.2019 | 0.3908 | 0.693 | 0.4959 | 0.6158 | 0.11 | 0.4025 | 0.1596 | 0.3286 | 0.0568 | 0.3492 | 0.2286 | 0.3573 |
86
- | 1.3045 | 16.0 | 1712 | 1.4170 | 0.2183 | 0.4426 | 0.1861 | 0.1004 | 0.1721 | 0.4785 | 0.2455 | 0.3968 | 0.4203 | 0.2087 | 0.405 | 0.6841 | 0.521 | 0.6387 | 0.1186 | 0.4101 | 0.1503 | 0.3429 | 0.0591 | 0.3385 | 0.2427 | 0.3711 |
87
- | 1.3045 | 17.0 | 1819 | 1.4012 | 0.2266 | 0.4648 | 0.1976 | 0.1072 | 0.1752 | 0.471 | 0.2583 | 0.4091 | 0.4304 | 0.2287 | 0.4074 | 0.696 | 0.5075 | 0.6324 | 0.1333 | 0.419 | 0.1617 | 0.3357 | 0.0805 | 0.3754 | 0.2501 | 0.3893 |
88
- | 1.3045 | 18.0 | 1926 | 1.3945 | 0.2318 | 0.4875 | 0.1926 | 0.1262 | 0.1709 | 0.4794 | 0.2612 | 0.404 | 0.4242 | 0.2222 | 0.3928 | 0.6859 | 0.5155 | 0.6351 | 0.1455 | 0.4354 | 0.159 | 0.3299 | 0.0954 | 0.36 | 0.2437 | 0.3604 |
89
- | 1.1448 | 19.0 | 2033 | 1.3874 | 0.2349 | 0.4679 | 0.2005 | 0.1154 | 0.1686 | 0.5002 | 0.2632 | 0.4152 | 0.4325 | 0.2334 | 0.4034 | 0.6879 | 0.5218 | 0.6311 | 0.1479 | 0.438 | 0.1682 | 0.3513 | 0.0916 | 0.3723 | 0.2448 | 0.3698 |
90
- | 1.1448 | 20.0 | 2140 | 1.3741 | 0.2403 | 0.4854 | 0.2034 | 0.1255 | 0.1806 | 0.5025 | 0.2698 | 0.4172 | 0.4368 | 0.235 | 0.417 | 0.7007 | 0.5327 | 0.6419 | 0.1561 | 0.4481 | 0.1632 | 0.3366 | 0.0904 | 0.3677 | 0.259 | 0.3898 |
91
- | 1.1448 | 21.0 | 2247 | 1.3601 | 0.2445 | 0.4861 | 0.2156 | 0.1262 | 0.1889 | 0.5055 | 0.2634 | 0.4199 | 0.4423 | 0.2492 | 0.4064 | 0.7178 | 0.5257 | 0.6396 | 0.1507 | 0.4646 | 0.1798 | 0.3371 | 0.0876 | 0.3738 | 0.2788 | 0.3964 |
92
- | 1.1448 | 22.0 | 2354 | 1.3504 | 0.2464 | 0.4939 | 0.214 | 0.13 | 0.184 | 0.5126 | 0.2673 | 0.4192 | 0.4439 | 0.2427 | 0.4206 | 0.7149 | 0.5389 | 0.65 | 0.1592 | 0.4873 | 0.1791 | 0.3415 | 0.0912 | 0.3508 | 0.2637 | 0.3898 |
93
- | 1.1448 | 23.0 | 2461 | 1.3461 | 0.2465 | 0.4916 | 0.2097 | 0.1309 | 0.189 | 0.5118 | 0.2715 | 0.4268 | 0.4482 | 0.2564 | 0.418 | 0.7268 | 0.531 | 0.6455 | 0.1653 | 0.4722 | 0.1846 | 0.3549 | 0.0862 | 0.3723 | 0.2655 | 0.396 |
94
- | 1.0403 | 24.0 | 2568 | 1.3395 | 0.2482 | 0.4911 | 0.2153 | 0.1387 | 0.1833 | 0.5239 | 0.2699 | 0.4202 | 0.4472 | 0.2516 | 0.4179 | 0.7237 | 0.5373 | 0.6495 | 0.1675 | 0.481 | 0.1875 | 0.3607 | 0.0854 | 0.3554 | 0.2634 | 0.3893 |
95
- | 1.0403 | 25.0 | 2675 | 1.3378 | 0.25 | 0.491 | 0.2193 | 0.1426 | 0.1891 | 0.5058 | 0.2739 | 0.4282 | 0.4512 | 0.2581 | 0.4163 | 0.7298 | 0.5369 | 0.65 | 0.1703 | 0.4785 | 0.1855 | 0.3513 | 0.0948 | 0.3815 | 0.2626 | 0.3947 |
96
- | 1.0403 | 26.0 | 2782 | 1.3416 | 0.2546 | 0.4963 | 0.2161 | 0.1417 | 0.193 | 0.5128 | 0.276 | 0.4268 | 0.4499 | 0.2452 | 0.4208 | 0.7375 | 0.5328 | 0.6459 | 0.1801 | 0.4848 | 0.1878 | 0.3522 | 0.0975 | 0.3692 | 0.2747 | 0.3973 |
97
- | 1.0403 | 27.0 | 2889 | 1.3383 | 0.253 | 0.4998 | 0.2192 | 0.1445 | 0.1911 | 0.5117 | 0.2774 | 0.4278 | 0.4518 | 0.2597 | 0.4175 | 0.7332 | 0.5342 | 0.6446 | 0.1765 | 0.4873 | 0.1867 | 0.3585 | 0.0954 | 0.3723 | 0.2724 | 0.3964 |
98
- | 1.0403 | 28.0 | 2996 | 1.3360 | 0.2535 | 0.4977 | 0.2173 | 0.1417 | 0.1896 | 0.5154 | 0.2756 | 0.4305 | 0.4529 | 0.2617 | 0.4162 | 0.7311 | 0.5375 | 0.6514 | 0.1765 | 0.4873 | 0.1867 | 0.3589 | 0.0973 | 0.3738 | 0.2697 | 0.3929 |
99
- | 0.984 | 29.0 | 3103 | 1.3350 | 0.254 | 0.498 | 0.2196 | 0.1426 | 0.1927 | 0.5173 | 0.2762 | 0.4295 | 0.4513 | 0.2592 | 0.4173 | 0.7261 | 0.5393 | 0.6527 | 0.1751 | 0.4823 | 0.187 | 0.3571 | 0.0976 | 0.3723 | 0.271 | 0.392 |
100
- | 0.984 | 30.0 | 3210 | 1.3354 | 0.254 | 0.4976 | 0.219 | 0.1421 | 0.1935 | 0.5146 | 0.2769 | 0.4288 | 0.4504 | 0.2575 | 0.4186 | 0.7227 | 0.5401 | 0.6545 | 0.176 | 0.4823 | 0.1858 | 0.3558 | 0.0977 | 0.3692 | 0.2704 | 0.3902 |
101
 
102
 
103
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.2940
19
+ - Map: 0.276
20
+ - Map 50: 0.5583
21
+ - Map 75: 0.2349
22
+ - Map Small: 0.1326
23
+ - Map Medium: 0.2329
24
+ - Map Large: 0.5249
25
+ - Mar 1: 0.2833
26
+ - Mar 10: 0.4344
27
+ - Mar 100: 0.4529
28
+ - Mar Small: 0.2371
29
+ - Mar Medium: 0.4211
30
+ - Mar Large: 0.7031
31
+ - Map Coverall: 0.5394
32
+ - Mar 100 Coverall: 0.662
33
+ - Map Face Shield: 0.2467
34
+ - Mar 100 Face Shield: 0.4485
35
  - Map Gloves: 0.1858
36
+ - Mar 100 Gloves: 0.3629
37
+ - Map Goggles: 0.1233
38
+ - Mar 100 Goggles: 0.3675
39
+ - Map Mask: 0.2846
40
+ - Mar 100 Mask: 0.4235
41
 
42
  ## Model description
43
 
 
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
70
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
71
+ | No log | 1.0 | 102 | 2.5470 | 0.0082 | 0.029 | 0.0031 | 0.0044 | 0.0146 | 0.0161 | 0.0297 | 0.1238 | 0.1642 | 0.0606 | 0.1705 | 0.2477 | 0.0168 | 0.2555 | 0.0058 | 0.1049 | 0.0022 | 0.1398 | 0.0016 | 0.0857 | 0.0148 | 0.2353 |
72
+ | No log | 2.0 | 204 | 2.2426 | 0.0404 | 0.0937 | 0.0286 | 0.0114 | 0.0252 | 0.0535 | 0.0755 | 0.2072 | 0.2393 | 0.0874 | 0.2144 | 0.3734 | 0.1464 | 0.4791 | 0.0052 | 0.1612 | 0.0067 | 0.1892 | 0.0038 | 0.0649 | 0.0397 | 0.3022 |
73
+ | No log | 3.0 | 306 | 1.9320 | 0.0599 | 0.1366 | 0.0442 | 0.0264 | 0.0353 | 0.1117 | 0.1215 | 0.2585 | 0.3077 | 0.1335 | 0.261 | 0.4562 | 0.1969 | 0.627 | 0.0215 | 0.1417 | 0.0181 | 0.278 | 0.0128 | 0.1468 | 0.0502 | 0.3449 |
74
+ | No log | 4.0 | 408 | 1.8128 | 0.1166 | 0.2562 | 0.0934 | 0.0218 | 0.0744 | 0.1782 | 0.1512 | 0.3192 | 0.3449 | 0.1369 | 0.3132 | 0.5769 | 0.3724 | 0.6133 | 0.1013 | 0.268 | 0.0322 | 0.271 | 0.01 | 0.2338 | 0.0672 | 0.3382 |
75
+ | 4.0575 | 5.0 | 510 | 1.7757 | 0.1249 | 0.2772 | 0.0977 | 0.0355 | 0.0838 | 0.1562 | 0.1568 | 0.3222 | 0.3485 | 0.1543 | 0.3203 | 0.5267 | 0.3739 | 0.5703 | 0.1038 | 0.3233 | 0.0522 | 0.2969 | 0.0084 | 0.2104 | 0.0863 | 0.3415 |
76
+ | 4.0575 | 6.0 | 612 | 1.7000 | 0.1349 | 0.2972 | 0.1026 | 0.0448 | 0.081 | 0.2166 | 0.1799 | 0.3588 | 0.3874 | 0.1361 | 0.3553 | 0.664 | 0.407 | 0.6278 | 0.1169 | 0.3864 | 0.0583 | 0.2958 | 0.0117 | 0.2883 | 0.0803 | 0.339 |
77
+ | 4.0575 | 7.0 | 714 | 1.7125 | 0.1412 | 0.3034 | 0.1216 | 0.0461 | 0.101 | 0.2629 | 0.188 | 0.3432 | 0.3668 | 0.1534 | 0.3208 | 0.6126 | 0.3853 | 0.57 | 0.1246 | 0.3388 | 0.0552 | 0.2846 | 0.0183 | 0.2779 | 0.1226 | 0.3625 |
78
+ | 4.0575 | 8.0 | 816 | 1.6076 | 0.1681 | 0.373 | 0.1382 | 0.0572 | 0.1276 | 0.3469 | 0.1902 | 0.3592 | 0.3805 | 0.1703 | 0.342 | 0.6335 | 0.4304 | 0.6011 | 0.1132 | 0.3243 | 0.0861 | 0.3197 | 0.0157 | 0.274 | 0.1952 | 0.3835 |
79
+ | 4.0575 | 9.0 | 918 | 1.5239 | 0.1878 | 0.4244 | 0.1491 | 0.0782 | 0.1452 | 0.3639 | 0.2052 | 0.3771 | 0.4035 | 0.1865 | 0.3631 | 0.6618 | 0.4684 | 0.6456 | 0.1322 | 0.365 | 0.1171 | 0.3131 | 0.0336 | 0.3052 | 0.1878 | 0.3886 |
80
+ | 1.5295 | 10.0 | 1020 | 1.5145 | 0.1985 | 0.4211 | 0.1622 | 0.0766 | 0.1524 | 0.3966 | 0.2137 | 0.3746 | 0.4033 | 0.1862 | 0.3656 | 0.6613 | 0.4777 | 0.6266 | 0.1555 | 0.3854 | 0.114 | 0.317 | 0.0338 | 0.3013 | 0.2114 | 0.3864 |
81
+ | 1.5295 | 11.0 | 1122 | 1.5015 | 0.1957 | 0.429 | 0.1566 | 0.0649 | 0.1524 | 0.372 | 0.2128 | 0.3697 | 0.3938 | 0.1501 | 0.3556 | 0.6698 | 0.473 | 0.6342 | 0.1401 | 0.366 | 0.1106 | 0.3012 | 0.022 | 0.2818 | 0.2331 | 0.3857 |
82
+ | 1.5295 | 12.0 | 1224 | 1.4262 | 0.2255 | 0.4749 | 0.1907 | 0.0776 | 0.1879 | 0.4579 | 0.2383 | 0.3888 | 0.4148 | 0.198 | 0.3757 | 0.6797 | 0.4821 | 0.6376 | 0.2038 | 0.4 | 0.1221 | 0.3394 | 0.0674 | 0.2883 | 0.2521 | 0.4088 |
83
+ | 1.5295 | 13.0 | 1326 | 1.4236 | 0.2187 | 0.467 | 0.1838 | 0.0913 | 0.1784 | 0.4542 | 0.2353 | 0.4007 | 0.4243 | 0.194 | 0.3955 | 0.6837 | 0.4862 | 0.6297 | 0.1653 | 0.4301 | 0.1381 | 0.3367 | 0.052 | 0.3286 | 0.2517 | 0.3963 |
84
+ | 1.5295 | 14.0 | 1428 | 1.4153 | 0.2383 | 0.4919 | 0.206 | 0.1058 | 0.2081 | 0.4487 | 0.2538 | 0.4054 | 0.4268 | 0.2222 | 0.3966 | 0.664 | 0.488 | 0.63 | 0.2094 | 0.4165 | 0.1481 | 0.3278 | 0.0825 | 0.3468 | 0.2634 | 0.4129 |
85
+ | 1.266 | 15.0 | 1530 | 1.3997 | 0.2247 | 0.4749 | 0.192 | 0.083 | 0.1847 | 0.461 | 0.2422 | 0.3933 | 0.417 | 0.2024 | 0.3814 | 0.6601 | 0.5041 | 0.6422 | 0.1757 | 0.3932 | 0.1402 | 0.3212 | 0.0558 | 0.3143 | 0.2479 | 0.414 |
86
+ | 1.266 | 16.0 | 1632 | 1.3688 | 0.2461 | 0.5091 | 0.2129 | 0.0988 | 0.2021 | 0.4977 | 0.2597 | 0.4126 | 0.4341 | 0.2187 | 0.4021 | 0.6893 | 0.4924 | 0.63 | 0.2257 | 0.434 | 0.1688 | 0.3529 | 0.0849 | 0.3532 | 0.2586 | 0.4004 |
87
+ | 1.266 | 17.0 | 1734 | 1.3500 | 0.2494 | 0.5084 | 0.2166 | 0.1048 | 0.2063 | 0.4653 | 0.2686 | 0.4238 | 0.442 | 0.216 | 0.414 | 0.6956 | 0.5107 | 0.6498 | 0.2131 | 0.4379 | 0.1716 | 0.3548 | 0.084 | 0.361 | 0.2674 | 0.4066 |
88
+ | 1.266 | 18.0 | 1836 | 1.3531 | 0.2531 | 0.5282 | 0.2175 | 0.1247 | 0.2095 | 0.4784 | 0.2703 | 0.4173 | 0.4373 | 0.2247 | 0.4069 | 0.6787 | 0.5086 | 0.6418 | 0.2243 | 0.4272 | 0.1716 | 0.3479 | 0.0886 | 0.361 | 0.2726 | 0.4088 |
89
+ | 1.266 | 19.0 | 1938 | 1.3331 | 0.2593 | 0.5317 | 0.2322 | 0.1208 | 0.2135 | 0.4881 | 0.2706 | 0.423 | 0.4422 | 0.216 | 0.4075 | 0.6909 | 0.5231 | 0.6544 | 0.2378 | 0.4447 | 0.1699 | 0.3544 | 0.0805 | 0.3468 | 0.2851 | 0.4107 |
90
+ | 1.1061 | 20.0 | 2040 | 1.3326 | 0.2638 | 0.5493 | 0.2347 | 0.1259 | 0.2193 | 0.4998 | 0.2677 | 0.4227 | 0.447 | 0.2269 | 0.4157 | 0.7039 | 0.5184 | 0.646 | 0.2465 | 0.4553 | 0.1743 | 0.3541 | 0.1011 | 0.3701 | 0.2788 | 0.4096 |
91
+ | 1.1061 | 21.0 | 2142 | 1.3211 | 0.263 | 0.5392 | 0.2245 | 0.1285 | 0.2228 | 0.4981 | 0.2785 | 0.4278 | 0.4467 | 0.2273 | 0.4152 | 0.6872 | 0.5203 | 0.6567 | 0.2461 | 0.4427 | 0.1788 | 0.3598 | 0.0966 | 0.3584 | 0.2733 | 0.4158 |
92
+ | 1.1061 | 22.0 | 2244 | 1.3092 | 0.2739 | 0.5586 | 0.2322 | 0.1354 | 0.2269 | 0.5056 | 0.2788 | 0.4307 | 0.4485 | 0.236 | 0.4149 | 0.6799 | 0.5345 | 0.6551 | 0.2601 | 0.4583 | 0.1808 | 0.3656 | 0.1231 | 0.3519 | 0.2709 | 0.4118 |
93
+ | 1.1061 | 23.0 | 2346 | 1.3059 | 0.2707 | 0.5585 | 0.2231 | 0.1299 | 0.2216 | 0.5081 | 0.2796 | 0.4356 | 0.4527 | 0.2287 | 0.4237 | 0.6967 | 0.5319 | 0.6597 | 0.2537 | 0.4631 | 0.1875 | 0.3668 | 0.105 | 0.3623 | 0.2752 | 0.4114 |
94
+ | 1.1061 | 24.0 | 2448 | 1.3112 | 0.273 | 0.5536 | 0.2339 | 0.1286 | 0.2331 | 0.4997 | 0.2801 | 0.4334 | 0.4526 | 0.2423 | 0.4173 | 0.6998 | 0.5348 | 0.6555 | 0.2427 | 0.4437 | 0.1875 | 0.371 | 0.1166 | 0.3701 | 0.2836 | 0.4228 |
95
+ | 1.0009 | 25.0 | 2550 | 1.3037 | 0.2722 | 0.5565 | 0.2261 | 0.1307 | 0.2315 | 0.507 | 0.2825 | 0.4307 | 0.4527 | 0.236 | 0.4222 | 0.7041 | 0.534 | 0.6601 | 0.2452 | 0.4456 | 0.1871 | 0.3664 | 0.1135 | 0.3727 | 0.2813 | 0.4187 |
96
+ | 1.0009 | 26.0 | 2652 | 1.2980 | 0.2745 | 0.5523 | 0.2332 | 0.1376 | 0.2323 | 0.5204 | 0.2835 | 0.435 | 0.4528 | 0.2373 | 0.4216 | 0.7035 | 0.5342 | 0.6624 | 0.2439 | 0.4447 | 0.1904 | 0.3633 | 0.1204 | 0.3675 | 0.2836 | 0.4261 |
97
+ | 1.0009 | 27.0 | 2754 | 1.3010 | 0.2767 | 0.5622 | 0.2263 | 0.1336 | 0.235 | 0.52 | 0.2838 | 0.4347 | 0.4535 | 0.2363 | 0.4254 | 0.7024 | 0.5354 | 0.6601 | 0.2493 | 0.4476 | 0.1889 | 0.3653 | 0.123 | 0.374 | 0.2868 | 0.4206 |
98
+ | 1.0009 | 28.0 | 2856 | 1.2962 | 0.2754 | 0.5592 | 0.2343 | 0.1282 | 0.2337 | 0.5194 | 0.2836 | 0.4333 | 0.4517 | 0.2369 | 0.4201 | 0.7002 | 0.5359 | 0.6586 | 0.2482 | 0.4466 | 0.1879 | 0.3649 | 0.1193 | 0.3662 | 0.2859 | 0.4224 |
99
+ | 1.0009 | 29.0 | 2958 | 1.2942 | 0.276 | 0.5589 | 0.2339 | 0.1324 | 0.2329 | 0.5254 | 0.2834 | 0.4344 | 0.4527 | 0.2369 | 0.421 | 0.7031 | 0.5391 | 0.662 | 0.2473 | 0.4476 | 0.1847 | 0.3625 | 0.1237 | 0.3675 | 0.2852 | 0.4239 |
100
+ | 0.9591 | 30.0 | 3060 | 1.2940 | 0.276 | 0.5583 | 0.2349 | 0.1326 | 0.2329 | 0.5249 | 0.2833 | 0.4344 | 0.4529 | 0.2371 | 0.4211 | 0.7031 | 0.5394 | 0.662 | 0.2467 | 0.4485 | 0.1858 | 0.3629 | 0.1233 | 0.3675 | 0.2846 | 0.4235 |
101
 
102
 
103
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bdf43371c13a640141a30a66195804e6b2103c4152f40b5f27d8ccf8e0e9c4e3
3
  size 174079796
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33e05433021e510d2db23472e464e1ac46a3cd5583f77dad010c3df3782c3095
3
  size 174079796
runs/May30_13-56-47_LAPTOP-S45RK0KK/events.out.tfevents.1717073818.LAPTOP-S45RK0KK.14416.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:919c5bc23334145fb24fcc8385649bf1ba93efdcfcd33703afad2137774ed4d1
3
+ size 51131
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:86dc7cd9222ab1cd921477d5bd39217ff47f3dcf745264c61202964a723f88c7
3
  size 5112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af399eeaa3cefb96d343e543872f5b2c209ef0cb0225a9c2a4ce64a396f29254
3
  size 5112