Hugging Face's logo

Larbutsri
/
detr_finetuned_cppe5

Object Detection
Transformers
TensorBoard
Safetensors
conditional_detr
Generated from Trainer
Model card Files
xet
 Metrics Community
Larbutsri commited on
Commit
83a28c9
·
verified ·
1 Parent(s): 2fb1ae8

Training in progress, epoch 19

Browse files
Files changed (4) hide show
  1. README.md +54 -64
  2. model.safetensors +1 -1
  3. runs/Sep03_04-27-28_efae7a241144/events.out.tfevents.1756873652.efae7a241144.913.6 +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,29 +16,29 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  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.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 1.2162
20
- - Map: 0.2299
21
- - Map 50: 0.4521
22
- - Map 75: 0.2056
23
- - Map Small: 0.0702
24
- - Map Medium: 0.1582
25
- - Map Large: 0.3564
26
- - Mar 1: 0.2597
27
- - Mar 10: 0.4191
28
- - Mar 100: 0.447
29
- - Mar Small: 0.2188
30
- - Mar Medium: 0.3822
31
- - Mar Large: 0.6116
32
- - Map Coverall: 0.5071
33
- - Mar 100 Coverall: 0.6545
34
- - Map Face Shield: 0.1107
35
- - Mar 100 Face Shield: 0.4823
36
- - Map Gloves: 0.1505
37
- - Mar 100 Gloves: 0.358
38
- - Map Goggles: 0.1074
39
- - Mar 100 Goggles: 0.3492
40
- - Map Mask: 0.2739
41
- - Mar 100 Mask: 0.3911
42
 
43
  ## Model description
44
 
@@ -63,52 +63,42 @@ The following hyperparameters were used during training:
63
  - seed: 42
64
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
65
  - lr_scheduler_type: cosine
66
- - num_epochs: 40
67
 
68
  ### Training results
69
 
70
  | 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 |
71
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
72
- | No log | 1.0 | 107 | 1.9632 | 0.007 | 0.0225 | 0.0024 | 0.0031 | 0.0075 | 0.0102 | 0.0292 | 0.0904 | 0.1184 | 0.0471 | 0.1139 | 0.1852 | 0.013 | 0.1342 | 0.0049 | 0.0709 | 0.0052 | 0.1214 | 0.0007 | 0.0385 | 0.011 | 0.2271 |
73
- | No log | 2.0 | 214 | 1.8962 | 0.0215 | 0.0542 | 0.0144 | 0.0033 | 0.01 | 0.0291 | 0.0436 | 0.1164 | 0.1579 | 0.0832 | 0.1243 | 0.1883 | 0.0812 | 0.3932 | 0.001 | 0.0759 | 0.0023 | 0.1071 | 0.0004 | 0.0046 | 0.0224 | 0.2084 |
74
- | No log | 3.0 | 321 | 2.0036 | 0.0173 | 0.0497 | 0.0091 | 0.0066 | 0.0086 | 0.0232 | 0.0543 | 0.1313 | 0.16 | 0.0484 | 0.1265 | 0.1867 | 0.0586 | 0.3941 | 0.005 | 0.1177 | 0.0017 | 0.0946 | 0.0005 | 0.0338 | 0.0205 | 0.1596 |
75
- | No log | 4.0 | 428 | 1.7344 | 0.0453 | 0.1117 | 0.03 | 0.0172 | 0.042 | 0.065 | 0.0847 | 0.2027 | 0.2407 | 0.0802 | 0.1955 | 0.3164 | 0.1249 | 0.4896 | 0.0273 | 0.2 | 0.005 | 0.1442 | 0.0032 | 0.1062 | 0.066 | 0.2636 |
76
- | 2.3309 | 5.0 | 535 | 1.7229 | 0.043 | 0.1083 | 0.0329 | 0.0124 | 0.0282 | 0.0584 | 0.1085 | 0.2245 | 0.2602 | 0.0964 | 0.2009 | 0.3611 | 0.1418 | 0.4703 | 0.0266 | 0.2291 | 0.0074 | 0.1848 | 0.0074 | 0.1508 | 0.0317 | 0.2658 |
77
- | 2.3309 | 6.0 | 642 | 1.8305 | 0.0465 | 0.1103 | 0.0372 | 0.0081 | 0.0381 | 0.0583 | 0.0958 | 0.2045 | 0.2387 | 0.0731 | 0.1617 | 0.3528 | 0.1728 | 0.5329 | 0.0151 | 0.238 | 0.0072 | 0.1049 | 0.0026 | 0.1 | 0.0349 | 0.2178 |
78
- | 2.3309 | 7.0 | 749 | 1.7196 | 0.0675 | 0.166 | 0.0463 | 0.0168 | 0.0615 | 0.0872 | 0.1174 | 0.2369 | 0.272 | 0.0954 | 0.2042 | 0.3792 | 0.1953 | 0.5622 | 0.0336 | 0.2329 | 0.0164 | 0.1518 | 0.0131 | 0.14 | 0.0788 | 0.2733 |
79
- | 2.3309 | 8.0 | 856 | 1.6126 | 0.0718 | 0.1724 | 0.0571 | 0.0143 | 0.0618 | 0.0845 | 0.1124 | 0.2562 | 0.2885 | 0.0822 | 0.2097 | 0.4338 | 0.2326 | 0.5437 | 0.0368 | 0.2557 | 0.0182 | 0.1902 | 0.0089 | 0.1862 | 0.0627 | 0.2667 |
80
- | 2.3309 | 9.0 | 963 | 1.5855 | 0.0835 | 0.1926 | 0.0662 | 0.0167 | 0.0599 | 0.1098 | 0.1247 | 0.2724 | 0.3026 | 0.0913 | 0.2351 | 0.4353 | 0.2835 | 0.5482 | 0.0348 | 0.3215 | 0.0213 | 0.1893 | 0.0133 | 0.1723 | 0.0646 | 0.2818 |
81
- | 1.5597 | 10.0 | 1070 | 1.5450 | 0.0841 | 0.1983 | 0.0641 | 0.0121 | 0.0705 | 0.1192 | 0.1272 | 0.2762 | 0.3114 | 0.1139 | 0.2549 | 0.4432 | 0.2742 | 0.5698 | 0.0304 | 0.2924 | 0.0223 | 0.1964 | 0.0099 | 0.2015 | 0.0836 | 0.2969 |
82
- | 1.5597 | 11.0 | 1177 | 1.5573 | 0.0947 | 0.222 | 0.0712 | 0.026 | 0.0723 | 0.1307 | 0.146 | 0.2905 | 0.3248 | 0.1186 | 0.2378 | 0.499 | 0.2893 | 0.5649 | 0.0514 | 0.3405 | 0.0273 | 0.2326 | 0.009 | 0.1969 | 0.0964 | 0.2893 |
83
- | 1.5597 | 12.0 | 1284 | 1.5222 | 0.1043 | 0.2485 | 0.0724 | 0.0202 | 0.088 | 0.1471 | 0.1311 | 0.2885 | 0.3256 | 0.1486 | 0.2593 | 0.4671 | 0.3296 | 0.559 | 0.0327 | 0.3354 | 0.0394 | 0.2737 | 0.017 | 0.1815 | 0.1028 | 0.2782 |
84
- | 1.5597 | 13.0 | 1391 | 1.5421 | 0.1232 | 0.289 | 0.0999 | 0.0373 | 0.0877 | 0.1828 | 0.1646 | 0.3041 | 0.3295 | 0.1361 | 0.2598 | 0.4786 | 0.3552 | 0.5342 | 0.0483 | 0.3316 | 0.0439 | 0.2562 | 0.0275 | 0.2154 | 0.1411 | 0.3102 |
85
- | 1.5597 | 14.0 | 1498 | 1.4880 | 0.135 | 0.2941 | 0.1092 | 0.0211 | 0.1189 | 0.1899 | 0.1705 | 0.3209 | 0.352 | 0.1254 | 0.2829 | 0.5097 | 0.3314 | 0.5914 | 0.0901 | 0.3734 | 0.0407 | 0.2375 | 0.028 | 0.2046 | 0.1848 | 0.3529 |
86
- | 1.3646 | 15.0 | 1605 | 1.4577 | 0.1328 | 0.305 | 0.0916 | 0.02 | 0.1062 | 0.1887 | 0.1526 | 0.3118 | 0.3469 | 0.1366 | 0.2924 | 0.4897 | 0.3823 | 0.5743 | 0.0535 | 0.343 | 0.0522 | 0.3031 | 0.0219 | 0.2169 | 0.154 | 0.2969 |
87
- | 1.3646 | 16.0 | 1712 | 1.4033 | 0.1501 | 0.3299 | 0.1205 | 0.029 | 0.1102 | 0.2222 | 0.1821 | 0.3406 | 0.3733 | 0.1349 | 0.2986 | 0.5346 | 0.3971 | 0.5847 | 0.0653 | 0.3924 | 0.0576 | 0.2826 | 0.0531 | 0.2892 | 0.1776 | 0.3178 |
88
- | 1.3646 | 17.0 | 1819 | 1.4298 | 0.1472 | 0.3467 | 0.1119 | 0.033 | 0.1125 | 0.2072 | 0.1631 | 0.3191 | 0.3528 | 0.1611 | 0.2869 | 0.4864 | 0.3928 | 0.5851 | 0.0937 | 0.3582 | 0.0531 | 0.2732 | 0.0227 | 0.2508 | 0.1737 | 0.2964 |
89
- | 1.3646 | 18.0 | 1926 | 1.3787 | 0.1583 | 0.3489 | 0.1333 | 0.0359 | 0.1182 | 0.2323 | 0.1934 | 0.3479 | 0.3811 | 0.1607 | 0.3212 | 0.5278 | 0.4204 | 0.5847 | 0.0732 | 0.4063 | 0.0777 | 0.3174 | 0.0196 | 0.2508 | 0.2006 | 0.3462 |
90
- | 1.2642 | 19.0 | 2033 | 1.3503 | 0.1734 | 0.3682 | 0.1393 | 0.0363 | 0.1328 | 0.2431 | 0.2132 | 0.3628 | 0.3896 | 0.1395 | 0.3224 | 0.5456 | 0.4434 | 0.6095 | 0.0888 | 0.4089 | 0.0883 | 0.3214 | 0.0427 | 0.2769 | 0.2038 | 0.3316 |
91
- | 1.2642 | 20.0 | 2140 | 1.3163 | 0.1772 | 0.3707 | 0.1537 | 0.0523 | 0.1354 | 0.2726 | 0.213 | 0.3728 | 0.4041 | 0.133 | 0.3433 | 0.5748 | 0.4405 | 0.5941 | 0.0785 | 0.4405 | 0.0851 | 0.3161 | 0.0399 | 0.3015 | 0.2423 | 0.368 |
92
- | 1.2642 | 21.0 | 2247 | 1.3490 | 0.1641 | 0.3559 | 0.1401 | 0.0518 | 0.1219 | 0.2491 | 0.2037 | 0.3579 | 0.3794 | 0.1423 | 0.324 | 0.5257 | 0.429 | 0.5946 | 0.0706 | 0.4051 | 0.0846 | 0.3085 | 0.0444 | 0.2523 | 0.1922 | 0.3364 |
93
- | 1.2642 | 22.0 | 2354 | 1.3092 | 0.1825 | 0.3812 | 0.1588 | 0.0428 | 0.1384 | 0.2856 | 0.2303 | 0.38 | 0.4084 | 0.1433 | 0.3505 | 0.5924 | 0.4401 | 0.5847 | 0.0748 | 0.4291 | 0.1015 | 0.3313 | 0.0601 | 0.3308 | 0.2361 | 0.3662 |
94
- | 1.2642 | 23.0 | 2461 | 1.2826 | 0.195 | 0.3915 | 0.1775 | 0.0489 | 0.1472 | 0.316 | 0.2337 | 0.3873 | 0.4152 | 0.1662 | 0.3373 | 0.6146 | 0.4592 | 0.6261 | 0.0889 | 0.4443 | 0.1229 | 0.3348 | 0.0702 | 0.3123 | 0.2336 | 0.3582 |
95
- | 1.1287 | 24.0 | 2568 | 1.3075 | 0.1805 | 0.3883 | 0.1488 | 0.0391 | 0.1382 | 0.277 | 0.2248 | 0.3768 | 0.4051 | 0.1609 | 0.342 | 0.5739 | 0.44 | 0.5977 | 0.0827 | 0.4241 | 0.0931 | 0.3299 | 0.0775 | 0.3277 | 0.209 | 0.3462 |
96
- | 1.1287 | 25.0 | 2675 | 1.2749 | 0.2007 | 0.407 | 0.1822 | 0.0515 | 0.1457 | 0.3057 | 0.2356 | 0.3977 | 0.4221 | 0.1737 | 0.3569 | 0.5931 | 0.4674 | 0.6198 | 0.0756 | 0.4443 | 0.1347 | 0.3402 | 0.0821 | 0.3338 | 0.2436 | 0.3724 |
97
- | 1.1287 | 26.0 | 2782 | 1.2569 | 0.2021 | 0.4236 | 0.172 | 0.0703 | 0.1474 | 0.3071 | 0.2532 | 0.3993 | 0.4259 | 0.1665 | 0.3679 | 0.5903 | 0.4701 | 0.6167 | 0.0921 | 0.4646 | 0.1184 | 0.3375 | 0.0712 | 0.3323 | 0.2588 | 0.3782 |
98
- | 1.1287 | 27.0 | 2889 | 1.2485 | 0.2096 | 0.4226 | 0.1956 | 0.0601 | 0.156 | 0.323 | 0.2514 | 0.398 | 0.4331 | 0.1767 | 0.3743 | 0.5965 | 0.4899 | 0.6257 | 0.0837 | 0.4671 | 0.1266 | 0.3531 | 0.0874 | 0.3262 | 0.2602 | 0.3933 |
99
- | 1.1287 | 28.0 | 2996 | 1.2488 | 0.2126 | 0.421 | 0.1898 | 0.0554 | 0.1647 | 0.3291 | 0.2517 | 0.4008 | 0.4272 | 0.1741 | 0.3766 | 0.5889 | 0.4788 | 0.6221 | 0.0962 | 0.4608 | 0.1401 | 0.3621 | 0.0839 | 0.3108 | 0.2638 | 0.3804 |
100
- | 1.0318 | 29.0 | 3103 | 1.2416 | 0.2109 | 0.4339 | 0.1838 | 0.0542 | 0.1464 | 0.3397 | 0.2553 | 0.4033 | 0.4282 | 0.1697 | 0.3682 | 0.6063 | 0.4875 | 0.6311 | 0.0829 | 0.4354 | 0.1346 | 0.3482 | 0.0893 | 0.3462 | 0.2602 | 0.38 |
101
- | 1.0318 | 30.0 | 3210 | 1.2356 | 0.2206 | 0.435 | 0.1895 | 0.0799 | 0.1587 | 0.3475 | 0.2556 | 0.4079 | 0.4366 | 0.1943 | 0.3785 | 0.6037 | 0.4962 | 0.6477 | 0.092 | 0.4468 | 0.1439 | 0.3661 | 0.1003 | 0.3415 | 0.2705 | 0.3809 |
102
- | 1.0318 | 31.0 | 3317 | 1.2156 | 0.2209 | 0.4441 | 0.1993 | 0.0791 | 0.1578 | 0.3472 | 0.2529 | 0.4194 | 0.4474 | 0.1979 | 0.3992 | 0.6193 | 0.5013 | 0.655 | 0.0989 | 0.4696 | 0.1429 | 0.3594 | 0.0961 | 0.3662 | 0.2652 | 0.3871 |
103
- | 1.0318 | 32.0 | 3424 | 1.2147 | 0.2211 | 0.4316 | 0.1987 | 0.0668 | 0.1504 | 0.3481 | 0.2537 | 0.4163 | 0.4448 | 0.205 | 0.382 | 0.6173 | 0.5032 | 0.6541 | 0.0977 | 0.4557 | 0.1396 | 0.358 | 0.0939 | 0.3646 | 0.2708 | 0.3916 |
104
- | 0.9599 | 33.0 | 3531 | 1.2336 | 0.2218 | 0.4479 | 0.1911 | 0.0803 | 0.1549 | 0.3424 | 0.2564 | 0.4105 | 0.4392 | 0.2128 | 0.3708 | 0.6056 | 0.4991 | 0.6464 | 0.1046 | 0.4646 | 0.1411 | 0.3585 | 0.1078 | 0.3415 | 0.2564 | 0.3849 |
105
- | 0.9599 | 34.0 | 3638 | 1.2274 | 0.2236 | 0.4459 | 0.1906 | 0.0666 | 0.1573 | 0.3478 | 0.2603 | 0.4118 | 0.4427 | 0.2067 | 0.3793 | 0.6053 | 0.4981 | 0.6446 | 0.1009 | 0.4722 | 0.1484 | 0.3634 | 0.1046 | 0.3446 | 0.2661 | 0.3889 |
106
- | 0.9599 | 35.0 | 3745 | 1.2208 | 0.2287 | 0.4525 | 0.2052 | 0.0667 | 0.1585 | 0.3532 | 0.2591 | 0.4148 | 0.4436 | 0.2129 | 0.3856 | 0.6051 | 0.5023 | 0.6527 | 0.1165 | 0.4734 | 0.1467 | 0.3576 | 0.105 | 0.3415 | 0.2728 | 0.3929 |
107
- | 0.9599 | 36.0 | 3852 | 1.2175 | 0.2275 | 0.451 | 0.199 | 0.0646 | 0.1595 | 0.3539 | 0.2602 | 0.4195 | 0.446 | 0.2084 | 0.3818 | 0.6175 | 0.5043 | 0.6572 | 0.1109 | 0.4759 | 0.1483 | 0.358 | 0.1018 | 0.3477 | 0.2721 | 0.3911 |
108
- | 0.9599 | 37.0 | 3959 | 1.2185 | 0.2292 | 0.4538 | 0.2058 | 0.0672 | 0.1612 | 0.3539 | 0.2595 | 0.416 | 0.4454 | 0.2179 | 0.3782 | 0.6129 | 0.5057 | 0.6527 | 0.112 | 0.4785 | 0.1493 | 0.3567 | 0.1044 | 0.3477 | 0.2744 | 0.3916 |
109
- | 0.9178 | 38.0 | 4066 | 1.2171 | 0.2309 | 0.4527 | 0.2059 | 0.0721 | 0.1613 | 0.3576 | 0.26 | 0.4205 | 0.448 | 0.2191 | 0.3836 | 0.6146 | 0.5073 | 0.6541 | 0.1139 | 0.4823 | 0.1503 | 0.358 | 0.1076 | 0.3523 | 0.2755 | 0.3933 |
110
- | 0.9178 | 39.0 | 4173 | 1.2159 | 0.2301 | 0.4528 | 0.2059 | 0.0702 | 0.1602 | 0.3559 | 0.2594 | 0.4186 | 0.4469 | 0.2224 | 0.382 | 0.6107 | 0.5073 | 0.6541 | 0.1112 | 0.4823 | 0.1503 | 0.3576 | 0.1075 | 0.3492 | 0.274 | 0.3911 |
111
- | 0.9178 | 40.0 | 4280 | 1.2162 | 0.2299 | 0.4521 | 0.2056 | 0.0702 | 0.1582 | 0.3564 | 0.2597 | 0.4191 | 0.447 | 0.2188 | 0.3822 | 0.6116 | 0.5071 | 0.6545 | 0.1107 | 0.4823 | 0.1505 | 0.358 | 0.1074 | 0.3492 | 0.2739 | 0.3911 |
112
 
113
 
114
  ### Framework versions
 
16
 
17
  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.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.1791
20
+ - Map: 0.2865
21
+ - Map 50: 0.5618
22
+ - Map 75: 0.2555
23
+ - Map Small: 0.0735
24
+ - Map Medium: 0.2165
25
+ - Map Large: 0.4478
26
+ - Mar 1: 0.2864
27
+ - Mar 10: 0.4227
28
+ - Mar 100: 0.4437
29
+ - Mar Small: 0.1864
30
+ - Mar Medium: 0.3781
31
+ - Mar Large: 0.6285
32
+ - Map Coverall: 0.5345
33
+ - Mar 100 Coverall: 0.6509
34
+ - Map Face Shield: 0.2503
35
+ - Mar 100 Face Shield: 0.4519
36
+ - Map Gloves: 0.1955
37
+ - Mar 100 Gloves: 0.3621
38
+ - Map Goggles: 0.1759
39
+ - Mar 100 Goggles: 0.3662
40
+ - Map Mask: 0.2763
41
+ - Mar 100 Mask: 0.3876
42
 
43
  ## Model description
44
 
 
63
  - seed: 42
64
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
65
  - lr_scheduler_type: cosine
66
+ - num_epochs: 30
67
 
68
  ### Training results
69
 
70
  | 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 |
71
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
72
+ | No log | 1.0 | 107 | 1.3038 | 0.1965 | 0.4236 | 0.1535 | 0.0418 | 0.1455 | 0.3159 | 0.2192 | 0.373 | 0.3942 | 0.1431 | 0.3278 | 0.5733 | 0.4616 | 0.6041 | 0.1148 | 0.3886 | 0.0993 | 0.2929 | 0.0657 | 0.3154 | 0.2409 | 0.3702 |
73
+ | No log | 2.0 | 214 | 1.3192 | 0.1872 | 0.4211 | 0.1358 | 0.0475 | 0.1397 | 0.2976 | 0.2225 | 0.3696 | 0.3948 | 0.1936 | 0.3317 | 0.5463 | 0.4491 | 0.6108 | 0.0978 | 0.4025 | 0.1159 | 0.2982 | 0.0795 | 0.3308 | 0.1935 | 0.3316 |
74
+ | No log | 3.0 | 321 | 1.3151 | 0.2001 | 0.4406 | 0.1698 | 0.0697 | 0.1432 | 0.3238 | 0.2251 | 0.3624 | 0.3882 | 0.164 | 0.3188 | 0.5533 | 0.4299 | 0.5874 | 0.1151 | 0.3456 | 0.1239 | 0.3187 | 0.1124 | 0.3308 | 0.219 | 0.3587 |
75
+ | No log | 4.0 | 428 | 1.3235 | 0.2115 | 0.4604 | 0.1645 | 0.0499 | 0.1498 | 0.3548 | 0.2291 | 0.3691 | 0.3923 | 0.1534 | 0.3288 | 0.5695 | 0.4537 | 0.6099 | 0.169 | 0.4089 | 0.146 | 0.2911 | 0.0754 | 0.3123 | 0.2137 | 0.3396 |
76
+ | 1.042 | 5.0 | 535 | 1.3239 | 0.2138 | 0.4575 | 0.168 | 0.067 | 0.153 | 0.3405 | 0.2334 | 0.3704 | 0.3885 | 0.1486 | 0.31 | 0.5628 | 0.4783 | 0.605 | 0.1717 | 0.4063 | 0.1191 | 0.2933 | 0.087 | 0.2923 | 0.2128 | 0.3458 |
77
+ | 1.042 | 6.0 | 642 | 1.2801 | 0.2069 | 0.4356 | 0.1623 | 0.0553 | 0.1526 | 0.335 | 0.2309 | 0.3779 | 0.4046 | 0.1399 | 0.3508 | 0.5859 | 0.4784 | 0.6351 | 0.1439 | 0.4215 | 0.1421 | 0.3241 | 0.084 | 0.2923 | 0.1862 | 0.3498 |
78
+ | 1.042 | 7.0 | 749 | 1.3229 | 0.2049 | 0.4461 | 0.163 | 0.0578 | 0.1443 | 0.3411 | 0.2284 | 0.3687 | 0.3894 | 0.1349 | 0.3245 | 0.5702 | 0.4677 | 0.6108 | 0.1426 | 0.3937 | 0.123 | 0.304 | 0.104 | 0.3338 | 0.1874 | 0.3049 |
79
+ | 1.042 | 8.0 | 856 | 1.3245 | 0.2065 | 0.4328 | 0.1753 | 0.0493 | 0.1498 | 0.338 | 0.227 | 0.368 | 0.3932 | 0.1059 | 0.3241 | 0.5844 | 0.4769 | 0.6374 | 0.1193 | 0.4063 | 0.1446 | 0.2933 | 0.0841 | 0.3062 | 0.2075 | 0.3227 |
80
+ | 1.042 | 9.0 | 963 | 1.2480 | 0.2314 | 0.4884 | 0.1931 | 0.0518 | 0.167 | 0.3841 | 0.2374 | 0.391 | 0.4067 | 0.1447 | 0.3446 | 0.606 | 0.5018 | 0.6369 | 0.1668 | 0.4127 | 0.1627 | 0.3098 | 0.099 | 0.3185 | 0.2266 | 0.3556 |
81
+ | 0.989 | 10.0 | 1070 | 1.2726 | 0.2309 | 0.4888 | 0.185 | 0.0534 | 0.1731 | 0.3773 | 0.244 | 0.3875 | 0.4127 | 0.175 | 0.3342 | 0.6006 | 0.4852 | 0.6135 | 0.1583 | 0.3975 | 0.1542 | 0.3451 | 0.1308 | 0.3338 | 0.2261 | 0.3738 |
82
+ | 0.989 | 11.0 | 1177 | 1.2592 | 0.2209 | 0.4662 | 0.1855 | 0.0492 | 0.1638 | 0.3567 | 0.24 | 0.3858 | 0.4115 | 0.1612 | 0.3553 | 0.59 | 0.4808 | 0.618 | 0.167 | 0.438 | 0.1561 | 0.3286 | 0.0796 | 0.3092 | 0.2212 | 0.3636 |
83
+ | 0.989 | 12.0 | 1284 | 1.2653 | 0.2278 | 0.4813 | 0.1886 | 0.0499 | 0.1768 | 0.372 | 0.2442 | 0.392 | 0.415 | 0.1425 | 0.371 | 0.5845 | 0.4858 | 0.6185 | 0.1693 | 0.3886 | 0.1541 | 0.3286 | 0.1131 | 0.3754 | 0.2166 | 0.364 |
84
+ | 0.989 | 13.0 | 1391 | 1.2548 | 0.2354 | 0.4804 | 0.2067 | 0.0593 | 0.1815 | 0.3652 | 0.2545 | 0.4026 | 0.4226 | 0.1909 | 0.3625 | 0.5771 | 0.482 | 0.6221 | 0.2023 | 0.4392 | 0.1438 | 0.3348 | 0.102 | 0.3415 | 0.2469 | 0.3756 |
85
+ | 0.989 | 14.0 | 1498 | 1.2376 | 0.2294 | 0.4836 | 0.1875 | 0.0513 | 0.1816 | 0.3609 | 0.2452 | 0.4015 | 0.418 | 0.1591 | 0.3664 | 0.6015 | 0.499 | 0.6342 | 0.1668 | 0.4063 | 0.1648 | 0.321 | 0.0846 | 0.3569 | 0.2318 | 0.3716 |
86
+ | 0.9023 | 15.0 | 1605 | 1.2502 | 0.2406 | 0.4936 | 0.208 | 0.0525 | 0.1809 | 0.3826 | 0.2578 | 0.397 | 0.4194 | 0.1928 | 0.3628 | 0.5834 | 0.4923 | 0.6041 | 0.1847 | 0.4203 | 0.1434 | 0.3277 | 0.1326 | 0.3692 | 0.2501 | 0.376 |
87
+ | 0.9023 | 16.0 | 1712 | 1.2263 | 0.2472 | 0.5104 | 0.2085 | 0.0563 | 0.1839 | 0.3895 | 0.2648 | 0.3988 | 0.4166 | 0.1748 | 0.3529 | 0.5867 | 0.4999 | 0.6293 | 0.1955 | 0.4152 | 0.157 | 0.3183 | 0.1395 | 0.3646 | 0.2439 | 0.3556 |
88
+ | 0.9023 | 17.0 | 1819 | 1.2073 | 0.2567 | 0.5145 | 0.2215 | 0.0692 | 0.1872 | 0.4081 | 0.2704 | 0.422 | 0.4488 | 0.189 | 0.3824 | 0.6317 | 0.5227 | 0.645 | 0.19 | 0.4924 | 0.1689 | 0.3375 | 0.1449 | 0.3862 | 0.2569 | 0.3827 |
89
+ | 0.9023 | 18.0 | 1926 | 1.2234 | 0.2597 | 0.5348 | 0.2226 | 0.0617 | 0.1953 | 0.414 | 0.2692 | 0.4136 | 0.4322 | 0.161 | 0.3722 | 0.6285 | 0.5116 | 0.6315 | 0.2313 | 0.4582 | 0.1751 | 0.3268 | 0.1318 | 0.3708 | 0.2484 | 0.3738 |
90
+ | 0.8123 | 19.0 | 2033 | 1.2288 | 0.2553 | 0.5289 | 0.2113 | 0.0641 | 0.1946 | 0.4094 | 0.2694 | 0.4077 | 0.425 | 0.1543 | 0.3682 | 0.6163 | 0.4874 | 0.6248 | 0.2366 | 0.462 | 0.1798 | 0.3362 | 0.1165 | 0.3477 | 0.256 | 0.3542 |
91
+ | 0.8123 | 20.0 | 2140 | 1.1945 | 0.2682 | 0.5376 | 0.235 | 0.0711 | 0.2046 | 0.4296 | 0.2699 | 0.4195 | 0.4385 | 0.1748 | 0.3806 | 0.6195 | 0.5245 | 0.6559 | 0.2285 | 0.4481 | 0.1916 | 0.3366 | 0.1226 | 0.3692 | 0.2737 | 0.3827 |
92
+ | 0.8123 | 21.0 | 2247 | 1.1942 | 0.271 | 0.5514 | 0.2288 | 0.0724 | 0.2013 | 0.4386 | 0.2769 | 0.4081 | 0.4319 | 0.1583 | 0.3664 | 0.6248 | 0.5226 | 0.6491 | 0.2289 | 0.4405 | 0.1889 | 0.3415 | 0.1385 | 0.3492 | 0.2761 | 0.3791 |
93
+ | 0.8123 | 22.0 | 2354 | 1.1974 | 0.2737 | 0.5624 | 0.2384 | 0.0736 | 0.1992 | 0.4376 | 0.2773 | 0.4156 | 0.4354 | 0.1824 | 0.3642 | 0.6288 | 0.5268 | 0.6532 | 0.2399 | 0.4481 | 0.1833 | 0.3339 | 0.1421 | 0.36 | 0.2765 | 0.3818 |
94
+ | 0.8123 | 23.0 | 2461 | 1.1869 | 0.273 | 0.5458 | 0.2343 | 0.078 | 0.1983 | 0.4281 | 0.2812 | 0.4177 | 0.4373 | 0.1877 | 0.3693 | 0.6185 | 0.5338 | 0.6482 | 0.2385 | 0.4316 | 0.1884 | 0.35 | 0.1281 | 0.3708 | 0.2761 | 0.3858 |
95
+ | 0.7316 | 24.0 | 2568 | 1.1848 | 0.2796 | 0.5599 | 0.2371 | 0.0719 | 0.2055 | 0.4466 | 0.2829 | 0.4187 | 0.4375 | 0.1845 | 0.3665 | 0.6273 | 0.5243 | 0.6428 | 0.2591 | 0.4532 | 0.1957 | 0.3491 | 0.1455 | 0.3585 | 0.2735 | 0.384 |
96
+ | 0.7316 | 25.0 | 2675 | 1.1791 | 0.2835 | 0.5642 | 0.2484 | 0.0746 | 0.2127 | 0.4454 | 0.2803 | 0.4211 | 0.4422 | 0.1878 | 0.3737 | 0.6275 | 0.5364 | 0.6595 | 0.2494 | 0.4392 | 0.1962 | 0.3545 | 0.161 | 0.3692 | 0.2745 | 0.3884 |
97
+ | 0.7316 | 26.0 | 2782 | 1.1788 | 0.2857 | 0.5651 | 0.2464 | 0.0702 | 0.213 | 0.45 | 0.284 | 0.4209 | 0.442 | 0.187 | 0.3723 | 0.6279 | 0.5353 | 0.6554 | 0.2555 | 0.443 | 0.1904 | 0.3518 | 0.1737 | 0.3754 | 0.2738 | 0.3844 |
98
+ | 0.7316 | 27.0 | 2889 | 1.1757 | 0.2856 | 0.5612 | 0.2483 | 0.074 | 0.2174 | 0.45 | 0.2859 | 0.4237 | 0.4436 | 0.1854 | 0.3795 | 0.625 | 0.5337 | 0.6509 | 0.2496 | 0.4456 | 0.1945 | 0.3616 | 0.1717 | 0.3692 | 0.2784 | 0.3907 |
99
+ | 0.7316 | 28.0 | 2996 | 1.1787 | 0.2851 | 0.5624 | 0.2501 | 0.0732 | 0.2167 | 0.4469 | 0.2859 | 0.4217 | 0.443 | 0.1831 | 0.3782 | 0.6265 | 0.5345 | 0.6509 | 0.2444 | 0.4494 | 0.1948 | 0.3594 | 0.1743 | 0.3662 | 0.2777 | 0.3893 |
100
+ | 0.6813 | 29.0 | 3103 | 1.1796 | 0.2865 | 0.5623 | 0.2555 | 0.0738 | 0.2158 | 0.4476 | 0.286 | 0.423 | 0.4438 | 0.1867 | 0.3783 | 0.6277 | 0.5351 | 0.6514 | 0.2499 | 0.4519 | 0.1952 | 0.3607 | 0.1763 | 0.3677 | 0.2759 | 0.3871 |
101
+ | 0.6813 | 30.0 | 3210 | 1.1791 | 0.2865 | 0.5618 | 0.2555 | 0.0735 | 0.2165 | 0.4478 | 0.2864 | 0.4227 | 0.4437 | 0.1864 | 0.3781 | 0.6285 | 0.5345 | 0.6509 | 0.2503 | 0.4519 | 0.1955 | 0.3621 | 0.1759 | 0.3662 | 0.2763 | 0.3876 |
 
 
 
 
 
 
 
 
 
 
102
 
103
 
104
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4180385f56e1bdd8d619c6f8e71e9167adf97047e1d61cb197499af7355bf029
3
  size 174079796
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a59489ababd1afa9f76b6402621827b03d7f06836773a3fe2f02a9ff0126691e
3
  size 174079796
runs/Sep03_04-27-28_efae7a241144/events.out.tfevents.1756873652.efae7a241144.913.6 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8e6ebc9f4ebff7279055f1988eedbe8ba1726052c0980bfa3e5437fdf0ac0715
3
- size 32279
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5df99781ae8a2b19d206b1332f1a9bfa82a06fe5bc5aac438543301486ed440
3
+ size 33950
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bb5cbb34eddf02166eddbe18ca39510b4ab701e2aa4eff74984db8fd11737710
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5dc211ff8ebf45647e663f56ee339446df2228ba02c085b58ca2fe40ff1d5561
3
  size 5777