peldrak commited on
Commit
734a2bf
1 Parent(s): 6927c7e

End of training

Browse files
README.md CHANGED
@@ -1,10 +1,10 @@
1
  ---
2
  license: other
 
3
  tags:
4
  - vision
5
  - image-segmentation
6
  - generated_from_trainer
7
- base_model: nvidia/segformer-b4-finetuned-cityscapes-1024-1024
8
  model-index:
9
  - name: segformer-b4-cityscapes-finetuned-coastTrain
10
  results: []
@@ -17,25 +17,25 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [nvidia/segformer-b4-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b4-finetuned-cityscapes-1024-1024) on the peldrak/coastTrain dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.2357
21
- - Mean Iou: 0.7811
22
- - Mean Accuracy: 0.8591
23
- - Overall Accuracy: 0.9319
24
- - Accuracy Water: 0.9549
25
- - Accuracy Whitewater: 0.6656
26
- - Accuracy Sediment: 0.8857
27
- - Accuracy Other Natural Terrain: 0.7000
28
- - Accuracy Vegetation: 0.9381
29
- - Accuracy Development: 0.9138
30
- - Accuracy Unknown: 0.9556
31
- - Iou Water: 0.9109
32
- - Iou Whitewater: 0.5055
33
- - Iou Sediment: 0.7882
34
- - Iou Other Natural Terrain: 0.6185
35
- - Iou Vegetation: 0.8519
36
- - Iou Development: 0.8427
37
- - Iou Unknown: 0.9497
38
- - F1 Score: 0.9319
39
 
40
  ## Model description
41
 
@@ -66,45 +66,64 @@ The following hyperparameters were used during training:
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Water | Accuracy Whitewater | Accuracy Sediment | Accuracy Other Natural Terrain | Accuracy Vegetation | Accuracy Development | Accuracy Unknown | Iou Water | Iou Whitewater | Iou Sediment | Iou Other Natural Terrain | Iou Vegetation | Iou Development | Iou Unknown | F1 Score |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------:|:-------------------:|:-----------------:|:------------------------------:|:-------------------:|:--------------------:|:----------------:|:---------:|:--------------:|:------------:|:-------------------------:|:--------------:|:---------------:|:-----------:|:--------:|
69
- | 1.6164 | 0.16 | 20 | 1.6103 | 0.3033 | 0.4310 | 0.6173 | 0.6984 | 0.0165 | 0.1213 | 0.1453 | 0.9116 | 0.5208 | 0.6034 | 0.6076 | 0.0092 | 0.1086 | 0.0431 | 0.4403 | 0.3382 | 0.5763 | 0.6109 |
70
- | 1.6774 | 0.31 | 40 | 1.1975 | 0.3912 | 0.5035 | 0.7266 | 0.8837 | 0.0011 | 0.2986 | 0.1865 | 0.9310 | 0.5736 | 0.6501 | 0.7156 | 0.0010 | 0.2726 | 0.1260 | 0.5542 | 0.4202 | 0.6485 | 0.7094 |
71
- | 1.1145 | 0.47 | 60 | 0.9583 | 0.4437 | 0.5388 | 0.7842 | 0.9139 | 0.0045 | 0.5101 | 0.0021 | 0.9109 | 0.6953 | 0.7346 | 0.7547 | 0.0045 | 0.4175 | 0.0021 | 0.6288 | 0.5663 | 0.7316 | 0.7701 |
72
- | 1.6204 | 0.62 | 80 | 0.7963 | 0.4983 | 0.5834 | 0.8301 | 0.9190 | 0.0007 | 0.7516 | 0.0 | 0.8826 | 0.6951 | 0.8351 | 0.7955 | 0.0007 | 0.5505 | 0.0 | 0.6940 | 0.6180 | 0.8292 | 0.8194 |
73
- | 0.8495 | 0.78 | 100 | 0.6806 | 0.5207 | 0.6159 | 0.8503 | 0.9244 | 0.0000 | 0.7264 | 0.0 | 0.8833 | 0.9370 | 0.8399 | 0.8472 | 0.0000 | 0.5786 | 0.0 | 0.7045 | 0.6805 | 0.8345 | 0.8398 |
74
- | 1.0065 | 0.93 | 120 | 0.5718 | 0.5401 | 0.6248 | 0.8639 | 0.9453 | 0.0000 | 0.7708 | 0.0 | 0.8715 | 0.9291 | 0.8567 | 0.8446 | 0.0000 | 0.6291 | 0.0 | 0.7336 | 0.7273 | 0.8459 | 0.8521 |
75
- | 0.6766 | 1.09 | 140 | 0.5126 | 0.5445 | 0.6242 | 0.8660 | 0.9491 | 0.0 | 0.7616 | 0.0 | 0.8935 | 0.9161 | 0.8492 | 0.8401 | 0.0 | 0.6121 | 0.0 | 0.7552 | 0.7584 | 0.8457 | 0.8540 |
76
- | 0.7925 | 1.24 | 160 | 0.5048 | 0.5329 | 0.6202 | 0.8542 | 0.9016 | 0.0003 | 0.7352 | 0.0 | 0.9269 | 0.9131 | 0.8645 | 0.8343 | 0.0003 | 0.5637 | 0.0 | 0.7175 | 0.7621 | 0.8526 | 0.8439 |
77
- | 0.6854 | 1.4 | 180 | 0.4882 | 0.5248 | 0.6245 | 0.8503 | 0.8990 | 0.0 | 0.8316 | 0.0009 | 0.8686 | 0.9357 | 0.8356 | 0.8310 | 0.0 | 0.5829 | 0.0009 | 0.7449 | 0.6835 | 0.8308 | 0.8418 |
78
- | 0.4662 | 1.55 | 200 | 0.4535 | 0.5386 | 0.6115 | 0.8628 | 0.9677 | 0.0 | 0.6686 | 0.0 | 0.9107 | 0.8763 | 0.8573 | 0.8473 | 0.0 | 0.5657 | 0.0 | 0.7304 | 0.7748 | 0.8518 | 0.8493 |
79
- | 0.3362 | 1.71 | 220 | 0.4699 | 0.5325 | 0.6177 | 0.8631 | 0.9593 | 0.0000 | 0.6739 | 0.0003 | 0.9159 | 0.9334 | 0.8410 | 0.8606 | 0.0000 | 0.6050 | 0.0003 | 0.7332 | 0.6897 | 0.8385 | 0.8502 |
80
- | 0.4076 | 1.86 | 240 | 0.4327 | 0.5554 | 0.6354 | 0.8783 | 0.9616 | 0.0 | 0.8128 | 0.0 | 0.8942 | 0.9314 | 0.8478 | 0.8682 | 0.0 | 0.6789 | 0.0 | 0.7692 | 0.7259 | 0.8456 | 0.8663 |
81
- | 0.3913 | 2.02 | 260 | 0.3790 | 0.5601 | 0.6425 | 0.8808 | 0.9320 | 0.0024 | 0.8535 | 0.0 | 0.9221 | 0.9205 | 0.8673 | 0.8705 | 0.0024 | 0.6627 | 0.0 | 0.7890 | 0.7383 | 0.8576 | 0.8699 |
82
- | 0.2981 | 2.17 | 280 | 0.3671 | 0.5610 | 0.6348 | 0.8824 | 0.9744 | 0.0054 | 0.7800 | 0.0 | 0.9047 | 0.9195 | 0.8599 | 0.8609 | 0.0054 | 0.6769 | 0.0 | 0.8009 | 0.7307 | 0.8525 | 0.8697 |
83
- | 0.4318 | 2.33 | 300 | 0.3670 | 0.5621 | 0.6398 | 0.8830 | 0.9479 | 0.0020 | 0.7878 | 0.0 | 0.9324 | 0.9327 | 0.8755 | 0.8732 | 0.0020 | 0.6613 | 0.0 | 0.7800 | 0.7484 | 0.8695 | 0.8711 |
84
- | 0.6784 | 2.48 | 320 | 0.3526 | 0.5729 | 0.6498 | 0.8880 | 0.9559 | 0.0274 | 0.8592 | 0.0013 | 0.9035 | 0.9357 | 0.8655 | 0.8731 | 0.0273 | 0.6938 | 0.0013 | 0.8037 | 0.7482 | 0.8626 | 0.8768 |
85
- | 0.499 | 2.64 | 340 | 0.4312 | 0.5619 | 0.6425 | 0.8800 | 0.9626 | 0.0024 | 0.8855 | 0.0110 | 0.8533 | 0.9383 | 0.8446 | 0.8566 | 0.0024 | 0.6981 | 0.0110 | 0.7918 | 0.7307 | 0.8428 | 0.8687 |
86
- | 0.8615 | 2.79 | 360 | 0.3365 | 0.5947 | 0.6622 | 0.8874 | 0.9715 | 0.0454 | 0.7257 | 0.1509 | 0.9227 | 0.9287 | 0.8906 | 0.8599 | 0.0450 | 0.6577 | 0.1487 | 0.7953 | 0.7779 | 0.8782 | 0.8773 |
87
- | 0.3003 | 2.95 | 380 | 0.3393 | 0.6401 | 0.7163 | 0.8957 | 0.9262 | 0.1204 | 0.8909 | 0.3291 | 0.9081 | 0.9310 | 0.9085 | 0.8719 | 0.1183 | 0.6859 | 0.3225 | 0.8121 | 0.7681 | 0.9022 | 0.8915 |
88
- | 0.5308 | 3.1 | 400 | 0.3830 | 0.5999 | 0.6674 | 0.8896 | 0.9691 | 0.0386 | 0.8396 | 0.1460 | 0.9074 | 0.9192 | 0.8520 | 0.8628 | 0.0384 | 0.6917 | 0.1454 | 0.8095 | 0.8045 | 0.8467 | 0.8804 |
89
- | 0.282 | 3.26 | 420 | 0.3304 | 0.6647 | 0.7423 | 0.8943 | 0.9559 | 0.2274 | 0.8711 | 0.4605 | 0.8742 | 0.9358 | 0.8711 | 0.8727 | 0.2145 | 0.7110 | 0.4375 | 0.8046 | 0.7517 | 0.8611 | 0.8914 |
90
- | 0.5241 | 3.41 | 440 | 0.3442 | 0.6755 | 0.7572 | 0.8987 | 0.9333 | 0.3115 | 0.8306 | 0.4531 | 0.9084 | 0.9409 | 0.9226 | 0.8892 | 0.2896 | 0.7121 | 0.4355 | 0.8007 | 0.7016 | 0.9001 | 0.8971 |
91
- | 0.3216 | 3.57 | 460 | 0.3183 | 0.6791 | 0.7528 | 0.9012 | 0.9668 | 0.2982 | 0.7765 | 0.4731 | 0.9024 | 0.9413 | 0.9112 | 0.8863 | 0.2779 | 0.7006 | 0.4557 | 0.8153 | 0.7164 | 0.9016 | 0.8983 |
92
- | 0.2215 | 3.72 | 480 | 0.3830 | 0.6360 | 0.7081 | 0.8863 | 0.9663 | 0.3204 | 0.6345 | 0.2660 | 0.9414 | 0.9120 | 0.9163 | 0.8619 | 0.2938 | 0.5889 | 0.2591 | 0.7971 | 0.7484 | 0.9032 | 0.8794 |
93
- | 0.218 | 3.88 | 500 | 0.3043 | 0.7161 | 0.7951 | 0.9085 | 0.9319 | 0.4424 | 0.8889 | 0.5373 | 0.9031 | 0.9292 | 0.9331 | 0.8819 | 0.3956 | 0.7315 | 0.5039 | 0.8373 | 0.7575 | 0.9050 | 0.9077 |
94
- | 1.2378 | 4.03 | 520 | 0.2986 | 0.6943 | 0.7565 | 0.9108 | 0.9551 | 0.2581 | 0.7835 | 0.4908 | 0.9377 | 0.9128 | 0.9577 | 0.8816 | 0.2385 | 0.7105 | 0.4599 | 0.8166 | 0.8091 | 0.9437 | 0.9071 |
95
- | 0.4541 | 4.19 | 540 | 0.2573 | 0.7435 | 0.8103 | 0.9231 | 0.9569 | 0.4210 | 0.8728 | 0.6279 | 0.9147 | 0.9204 | 0.9580 | 0.8940 | 0.3789 | 0.7582 | 0.5599 | 0.8528 | 0.8206 | 0.9404 | 0.9217 |
96
- | 0.4081 | 4.34 | 560 | 0.2838 | 0.7128 | 0.7770 | 0.9155 | 0.9546 | 0.3982 | 0.8023 | 0.4623 | 0.9336 | 0.9262 | 0.9619 | 0.8945 | 0.3503 | 0.7261 | 0.4438 | 0.8112 | 0.8117 | 0.9521 | 0.9130 |
97
- | 0.2315 | 4.5 | 580 | 0.2708 | 0.7334 | 0.8036 | 0.9197 | 0.9704 | 0.5776 | 0.8037 | 0.4773 | 0.9332 | 0.9220 | 0.9408 | 0.9000 | 0.4597 | 0.7405 | 0.4540 | 0.8364 | 0.8102 | 0.9329 | 0.9179 |
98
- | 0.2435 | 4.65 | 600 | 0.2466 | 0.7647 | 0.8418 | 0.9263 | 0.9479 | 0.5343 | 0.9115 | 0.7044 | 0.9117 | 0.9321 | 0.9509 | 0.9029 | 0.4430 | 0.7746 | 0.6281 | 0.8570 | 0.8114 | 0.9362 | 0.9261 |
99
- | 0.4516 | 4.81 | 620 | 0.2416 | 0.7570 | 0.8354 | 0.9238 | 0.9662 | 0.5266 | 0.8814 | 0.7140 | 0.9014 | 0.9212 | 0.9369 | 0.9081 | 0.4453 | 0.7670 | 0.6086 | 0.8446 | 0.7996 | 0.9257 | 0.9233 |
100
- | 0.4509 | 4.96 | 640 | 0.2508 | 0.7655 | 0.8494 | 0.9230 | 0.9551 | 0.5720 | 0.8782 | 0.7680 | 0.9144 | 0.9230 | 0.9351 | 0.8989 | 0.4836 | 0.7720 | 0.6315 | 0.8477 | 0.7990 | 0.9258 | 0.9229 |
101
- | 0.1969 | 5.12 | 660 | 0.2465 | 0.7651 | 0.8382 | 0.9258 | 0.9530 | 0.5403 | 0.9037 | 0.6842 | 0.9110 | 0.9291 | 0.9463 | 0.9066 | 0.4604 | 0.7656 | 0.6248 | 0.8454 | 0.8118 | 0.9411 | 0.9255 |
102
- | 0.1708 | 5.27 | 680 | 0.2227 | 0.7879 | 0.8556 | 0.9357 | 0.9711 | 0.5701 | 0.8964 | 0.7527 | 0.9016 | 0.9259 | 0.9717 | 0.9195 | 0.4858 | 0.8047 | 0.6627 | 0.8455 | 0.8394 | 0.9575 | 0.9350 |
103
- | 1.1432 | 5.43 | 700 | 0.2491 | 0.7805 | 0.8601 | 0.9284 | 0.9502 | 0.6603 | 0.8626 | 0.7375 | 0.9469 | 0.9132 | 0.9503 | 0.9055 | 0.4984 | 0.7696 | 0.6647 | 0.8500 | 0.8299 | 0.9452 | 0.9284 |
104
- | 0.1651 | 5.58 | 720 | 0.2540 | 0.7767 | 0.8579 | 0.9254 | 0.9510 | 0.6597 | 0.8658 | 0.7340 | 0.9306 | 0.9185 | 0.9459 | 0.8929 | 0.4721 | 0.7627 | 0.6720 | 0.8532 | 0.8441 | 0.9401 | 0.9255 |
105
- | 0.4319 | 5.74 | 740 | 0.2351 | 0.7858 | 0.8578 | 0.9317 | 0.9647 | 0.6158 | 0.8645 | 0.7555 | 0.9330 | 0.9202 | 0.9508 | 0.9084 | 0.4928 | 0.7851 | 0.6730 | 0.8529 | 0.8415 | 0.9468 | 0.9313 |
106
- | 0.1979 | 5.89 | 760 | 0.2278 | 0.7927 | 0.8693 | 0.9362 | 0.9554 | 0.6724 | 0.8793 | 0.7419 | 0.9298 | 0.9242 | 0.9820 | 0.9152 | 0.5258 | 0.7952 | 0.6468 | 0.8622 | 0.8458 | 0.9578 | 0.9360 |
107
- | 0.1783 | 6.05 | 780 | 0.2357 | 0.7811 | 0.8591 | 0.9319 | 0.9549 | 0.6656 | 0.8857 | 0.7000 | 0.9381 | 0.9138 | 0.9556 | 0.9109 | 0.5055 | 0.7882 | 0.6185 | 0.8519 | 0.8427 | 0.9497 | 0.9319 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
108
 
109
 
110
  ### Framework versions
 
1
  ---
2
  license: other
3
+ base_model: nvidia/segformer-b4-finetuned-cityscapes-1024-1024
4
  tags:
5
  - vision
6
  - image-segmentation
7
  - generated_from_trainer
 
8
  model-index:
9
  - name: segformer-b4-cityscapes-finetuned-coastTrain
10
  results: []
 
17
 
18
  This model is a fine-tuned version of [nvidia/segformer-b4-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b4-finetuned-cityscapes-1024-1024) on the peldrak/coastTrain dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.3556
21
+ - Mean Iou: 0.7561
22
+ - Mean Accuracy: 0.8443
23
+ - Overall Accuracy: 0.9175
24
+ - Accuracy Water: 0.9466
25
+ - Accuracy Whitewater: 0.6901
26
+ - Accuracy Sediment: 0.8516
27
+ - Accuracy Other Natural Terrain: 0.6914
28
+ - Accuracy Vegetation: 0.9725
29
+ - Accuracy Development: 0.8959
30
+ - Accuracy Unknown: 0.8623
31
+ - Iou Water: 0.9040
32
+ - Iou Whitewater: 0.5311
33
+ - Iou Sediment: 0.7532
34
+ - Iou Other Natural Terrain: 0.6223
35
+ - Iou Vegetation: 0.8820
36
+ - Iou Development: 0.7524
37
+ - Iou Unknown: 0.8476
38
+ - F1 Score: 0.9173
39
 
40
  ## Model description
41
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Water | Accuracy Whitewater | Accuracy Sediment | Accuracy Other Natural Terrain | Accuracy Vegetation | Accuracy Development | Accuracy Unknown | Iou Water | Iou Whitewater | Iou Sediment | Iou Other Natural Terrain | Iou Vegetation | Iou Development | Iou Unknown | F1 Score |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------:|:-------------------:|:-----------------:|:------------------------------:|:-------------------:|:--------------------:|:----------------:|:---------:|:--------------:|:------------:|:-------------------------:|:--------------:|:---------------:|:-----------:|:--------:|
69
+ | 1.6159 | 0.16 | 20 | 1.4743 | 0.3465 | 0.4471 | 0.6946 | 0.8336 | 0.0001 | 0.3708 | 0.0019 | 0.8458 | 0.4863 | 0.5910 | 0.6397 | 0.0001 | 0.2692 | 0.0016 | 0.5615 | 0.3639 | 0.5891 | 0.6796 |
70
+ | 1.3039 | 0.31 | 40 | 1.1133 | 0.4229 | 0.5298 | 0.7670 | 0.8703 | 0.0000 | 0.6398 | 0.0000 | 0.8251 | 0.6148 | 0.7589 | 0.7303 | 0.0000 | 0.3461 | 0.0000 | 0.6582 | 0.4702 | 0.7556 | 0.7615 |
71
+ | 1.1378 | 0.47 | 60 | 0.9002 | 0.4549 | 0.5455 | 0.8106 | 0.8950 | 0.0001 | 0.4156 | 0.0000 | 0.9384 | 0.7718 | 0.7978 | 0.7862 | 0.0001 | 0.3617 | 0.0000 | 0.7144 | 0.5295 | 0.7920 | 0.7949 |
72
+ | 0.8296 | 0.62 | 80 | 0.7117 | 0.4853 | 0.5698 | 0.8343 | 0.9301 | 0.0 | 0.6730 | 0.0 | 0.9536 | 0.6391 | 0.7927 | 0.8103 | 0.0 | 0.5208 | 0.0 | 0.7637 | 0.5108 | 0.7911 | 0.8202 |
73
+ | 1.4277 | 0.78 | 100 | 0.6559 | 0.4795 | 0.5637 | 0.8313 | 0.9643 | 0.0 | 0.5861 | 0.0 | 0.9123 | 0.6822 | 0.8008 | 0.7803 | 0.0 | 0.4585 | 0.0 | 0.7906 | 0.5310 | 0.7958 | 0.8168 |
74
+ | 0.915 | 0.93 | 120 | 0.6692 | 0.4593 | 0.5696 | 0.8003 | 0.9383 | 0.0 | 0.8360 | 0.0 | 0.7728 | 0.6365 | 0.8035 | 0.7894 | 0.0 | 0.3948 | 0.0 | 0.7080 | 0.5249 | 0.7978 | 0.7975 |
75
+ | 0.5845 | 1.09 | 140 | 0.5152 | 0.4939 | 0.5883 | 0.8398 | 0.9255 | 0.0 | 0.7697 | 0.0 | 0.9243 | 0.6947 | 0.8040 | 0.8302 | 0.0 | 0.4814 | 0.0 | 0.7844 | 0.5639 | 0.7976 | 0.8298 |
76
+ | 0.6603 | 1.24 | 160 | 0.4796 | 0.5211 | 0.6072 | 0.8577 | 0.9726 | 0.0 | 0.7405 | 0.0 | 0.9000 | 0.8342 | 0.8029 | 0.8280 | 0.0 | 0.5529 | 0.0 | 0.8020 | 0.6675 | 0.7974 | 0.8450 |
77
+ | 1.0074 | 1.4 | 180 | 0.4792 | 0.5257 | 0.6158 | 0.8621 | 0.9271 | 0.0 | 0.7763 | 0.0 | 0.9451 | 0.8562 | 0.8061 | 0.8431 | 0.0 | 0.5783 | 0.0 | 0.8138 | 0.6467 | 0.7984 | 0.8503 |
78
+ | 0.3431 | 1.55 | 200 | 0.4631 | 0.5344 | 0.6251 | 0.8682 | 0.9492 | 0.0 | 0.8284 | 0.0 | 0.9232 | 0.8698 | 0.8053 | 0.8460 | 0.0 | 0.6038 | 0.0 | 0.8304 | 0.6619 | 0.7988 | 0.8565 |
79
+ | 0.3317 | 1.71 | 220 | 0.4442 | 0.5296 | 0.6087 | 0.8641 | 0.9459 | 0.0000 | 0.7155 | 0.0 | 0.9544 | 0.8380 | 0.8069 | 0.8510 | 0.0000 | 0.5947 | 0.0 | 0.7913 | 0.6723 | 0.7981 | 0.8505 |
80
+ | 0.7125 | 1.86 | 240 | 0.4652 | 0.5287 | 0.6123 | 0.8609 | 0.9455 | 0.0000 | 0.7733 | 0.0 | 0.9300 | 0.8316 | 0.8057 | 0.8392 | 0.0000 | 0.6147 | 0.0 | 0.7861 | 0.6630 | 0.7979 | 0.8481 |
81
+ | 0.2776 | 2.02 | 260 | 0.4849 | 0.5259 | 0.6016 | 0.8644 | 0.9598 | 0.0000 | 0.6631 | 0.0 | 0.9632 | 0.8203 | 0.8044 | 0.8497 | 0.0000 | 0.5649 | 0.0 | 0.8021 | 0.6651 | 0.7992 | 0.8499 |
82
+ | 0.7679 | 2.17 | 280 | 0.4463 | 0.5333 | 0.6188 | 0.8653 | 0.9482 | 0.0010 | 0.7903 | 0.0 | 0.9284 | 0.8573 | 0.8065 | 0.8407 | 0.0010 | 0.5719 | 0.0 | 0.8101 | 0.7100 | 0.7996 | 0.8531 |
83
+ | 0.571 | 2.33 | 300 | 0.4167 | 0.5440 | 0.6279 | 0.8731 | 0.9367 | 0.0173 | 0.8056 | 0.0065 | 0.9581 | 0.8590 | 0.8120 | 0.8664 | 0.0173 | 0.6075 | 0.0065 | 0.8185 | 0.6910 | 0.8006 | 0.8612 |
84
+ | 0.451 | 2.48 | 320 | 0.4462 | 0.5393 | 0.6214 | 0.8734 | 0.9691 | 0.0046 | 0.7837 | 0.0022 | 0.9360 | 0.8399 | 0.8143 | 0.8518 | 0.0045 | 0.5904 | 0.0022 | 0.8424 | 0.6799 | 0.8038 | 0.8607 |
85
+ | 0.4442 | 2.64 | 340 | 0.4778 | 0.5263 | 0.6287 | 0.8555 | 0.9441 | 0.0371 | 0.8508 | 0.0 | 0.8623 | 0.8909 | 0.8158 | 0.8669 | 0.0367 | 0.5251 | 0.0 | 0.7737 | 0.6770 | 0.8048 | 0.8477 |
86
+ | 0.3257 | 2.79 | 360 | 0.4507 | 0.5432 | 0.6384 | 0.8628 | 0.9527 | 0.0327 | 0.8440 | 0.0508 | 0.8735 | 0.8931 | 0.8220 | 0.8595 | 0.0324 | 0.5533 | 0.0502 | 0.7834 | 0.7140 | 0.8098 | 0.8542 |
87
+ | 0.7477 | 2.95 | 380 | 0.3665 | 0.5797 | 0.6446 | 0.8904 | 0.9627 | 0.0750 | 0.7582 | 0.0186 | 0.9653 | 0.8778 | 0.8544 | 0.8720 | 0.0731 | 0.6663 | 0.0186 | 0.8306 | 0.7623 | 0.8350 | 0.8785 |
88
+ | 0.2692 | 3.1 | 400 | 0.4098 | 0.5707 | 0.6486 | 0.8840 | 0.9536 | 0.1067 | 0.8264 | 0.0026 | 0.9564 | 0.8753 | 0.8192 | 0.8729 | 0.1035 | 0.6058 | 0.0025 | 0.8395 | 0.7593 | 0.8112 | 0.8738 |
89
+ | 0.4504 | 3.26 | 420 | 0.3821 | 0.5977 | 0.6698 | 0.8874 | 0.9631 | 0.2230 | 0.7329 | 0.0862 | 0.9539 | 0.8833 | 0.8462 | 0.8712 | 0.2002 | 0.6279 | 0.0857 | 0.8354 | 0.7374 | 0.8262 | 0.8791 |
90
+ | 0.426 | 3.41 | 440 | 0.3995 | 0.5910 | 0.6636 | 0.8856 | 0.9655 | 0.2359 | 0.8131 | 0.0085 | 0.9567 | 0.8530 | 0.8127 | 0.8691 | 0.2182 | 0.6564 | 0.0085 | 0.8327 | 0.7526 | 0.7993 | 0.8764 |
91
+ | 0.5443 | 3.57 | 460 | 0.3611 | 0.6173 | 0.6880 | 0.8991 | 0.9471 | 0.2484 | 0.8521 | 0.0488 | 0.9532 | 0.8842 | 0.8819 | 0.8751 | 0.2234 | 0.6843 | 0.0481 | 0.8502 | 0.7845 | 0.8555 | 0.8916 |
92
+ | 0.4419 | 3.72 | 480 | 0.3920 | 0.6111 | 0.6927 | 0.8876 | 0.9396 | 0.3563 | 0.8102 | 0.0611 | 0.9618 | 0.8956 | 0.8243 | 0.8837 | 0.3152 | 0.6403 | 0.0608 | 0.8305 | 0.7323 | 0.8149 | 0.8815 |
93
+ | 0.4769 | 3.88 | 500 | 0.3631 | 0.6276 | 0.7045 | 0.8990 | 0.9527 | 0.3812 | 0.8409 | 0.0492 | 0.9512 | 0.8902 | 0.8658 | 0.8872 | 0.3400 | 0.6772 | 0.0490 | 0.8594 | 0.7429 | 0.8373 | 0.8927 |
94
+ | 0.3016 | 4.03 | 520 | 0.3577 | 0.6473 | 0.7262 | 0.8989 | 0.9493 | 0.4276 | 0.8062 | 0.1820 | 0.9519 | 0.8992 | 0.8675 | 0.8857 | 0.3481 | 0.6790 | 0.1769 | 0.8505 | 0.7499 | 0.8407 | 0.8947 |
95
+ | 0.3139 | 4.19 | 540 | 0.3647 | 0.6394 | 0.7213 | 0.8980 | 0.9615 | 0.4900 | 0.7992 | 0.1045 | 0.9456 | 0.8868 | 0.8615 | 0.8899 | 0.3818 | 0.6598 | 0.1023 | 0.8494 | 0.7541 | 0.8384 | 0.8932 |
96
+ | 0.7716 | 4.34 | 560 | 0.3705 | 0.6355 | 0.7131 | 0.8977 | 0.9637 | 0.4701 | 0.7886 | 0.0669 | 0.9528 | 0.9031 | 0.8463 | 0.8825 | 0.3893 | 0.6725 | 0.0654 | 0.8541 | 0.7561 | 0.8282 | 0.8917 |
97
+ | 0.2064 | 4.5 | 580 | 0.3519 | 0.6475 | 0.7311 | 0.9003 | 0.9550 | 0.4379 | 0.8497 | 0.1562 | 0.9391 | 0.9258 | 0.8543 | 0.8795 | 0.3560 | 0.6969 | 0.1517 | 0.8697 | 0.7477 | 0.8311 | 0.8963 |
98
+ | 0.328 | 4.65 | 600 | 0.3472 | 0.6668 | 0.7453 | 0.9030 | 0.9492 | 0.5101 | 0.8296 | 0.2324 | 0.9661 | 0.8668 | 0.8627 | 0.8829 | 0.3997 | 0.6923 | 0.2227 | 0.8630 | 0.7680 | 0.8389 | 0.8997 |
99
+ | 0.232 | 4.81 | 620 | 0.3783 | 0.7012 | 0.8077 | 0.8943 | 0.9511 | 0.5130 | 0.8176 | 0.7141 | 0.9107 | 0.8877 | 0.8599 | 0.8866 | 0.3894 | 0.6315 | 0.5600 | 0.8175 | 0.7807 | 0.8426 | 0.8945 |
100
+ | 0.2855 | 4.96 | 640 | 0.3812 | 0.6955 | 0.7845 | 0.9027 | 0.9371 | 0.5656 | 0.8306 | 0.4463 | 0.9620 | 0.8968 | 0.8529 | 0.8823 | 0.4207 | 0.6727 | 0.4128 | 0.8548 | 0.7783 | 0.8470 | 0.9018 |
101
+ | 0.2412 | 5.12 | 660 | 0.3655 | 0.7137 | 0.7974 | 0.9056 | 0.9459 | 0.5650 | 0.8384 | 0.5349 | 0.9625 | 0.8866 | 0.8485 | 0.8817 | 0.4150 | 0.7214 | 0.5173 | 0.8632 | 0.7662 | 0.8312 | 0.9046 |
102
+ | 0.2082 | 5.27 | 680 | 0.3343 | 0.7154 | 0.7934 | 0.9107 | 0.9527 | 0.5929 | 0.8280 | 0.4559 | 0.9642 | 0.8966 | 0.8639 | 0.8959 | 0.4573 | 0.7323 | 0.4429 | 0.8625 | 0.7733 | 0.8435 | 0.9092 |
103
+ | 0.4416 | 5.43 | 700 | 0.3514 | 0.7158 | 0.8003 | 0.9106 | 0.9331 | 0.6079 | 0.8660 | 0.4651 | 0.9703 | 0.8886 | 0.8712 | 0.8901 | 0.4638 | 0.7276 | 0.4346 | 0.8657 | 0.7771 | 0.8519 | 0.9096 |
104
+ | 0.191 | 5.58 | 720 | 0.3179 | 0.7306 | 0.8196 | 0.9125 | 0.9549 | 0.6056 | 0.8420 | 0.6048 | 0.9500 | 0.9155 | 0.8646 | 0.8965 | 0.4449 | 0.7542 | 0.5473 | 0.8730 | 0.7584 | 0.8402 | 0.9120 |
105
+ | 0.1884 | 5.74 | 740 | 0.3441 | 0.7366 | 0.8194 | 0.9126 | 0.9441 | 0.5602 | 0.8682 | 0.6389 | 0.9625 | 0.9001 | 0.8616 | 0.8940 | 0.4449 | 0.7405 | 0.5858 | 0.8699 | 0.7836 | 0.8373 | 0.9118 |
106
+ | 0.277 | 5.89 | 760 | 0.3121 | 0.7419 | 0.8205 | 0.9179 | 0.9577 | 0.6134 | 0.8338 | 0.5970 | 0.9604 | 0.8962 | 0.8852 | 0.8999 | 0.4515 | 0.7449 | 0.5659 | 0.8772 | 0.7983 | 0.8554 | 0.9171 |
107
+ | 0.181 | 6.05 | 780 | 0.3543 | 0.7314 | 0.8129 | 0.9141 | 0.9517 | 0.6239 | 0.8661 | 0.5168 | 0.9583 | 0.9120 | 0.8611 | 0.8967 | 0.4857 | 0.7511 | 0.4988 | 0.8758 | 0.7719 | 0.8397 | 0.9131 |
108
+ | 0.1812 | 6.2 | 800 | 0.3260 | 0.7370 | 0.8187 | 0.9140 | 0.9581 | 0.5996 | 0.8174 | 0.6378 | 0.9665 | 0.8854 | 0.8660 | 0.9089 | 0.4675 | 0.7414 | 0.5870 | 0.8731 | 0.7410 | 0.8404 | 0.9132 |
109
+ | 0.1737 | 6.36 | 820 | 0.3332 | 0.7311 | 0.8173 | 0.9134 | 0.9587 | 0.6011 | 0.8190 | 0.6142 | 0.9651 | 0.9095 | 0.8536 | 0.9089 | 0.4873 | 0.7495 | 0.5235 | 0.8716 | 0.7367 | 0.8402 | 0.9127 |
110
+ | 0.2288 | 6.51 | 840 | 0.3547 | 0.7397 | 0.8353 | 0.9146 | 0.9514 | 0.6385 | 0.8815 | 0.6453 | 0.9457 | 0.9239 | 0.8611 | 0.9052 | 0.5085 | 0.7485 | 0.5461 | 0.8735 | 0.7437 | 0.8528 | 0.9148 |
111
+ | 0.2722 | 6.67 | 860 | 0.3257 | 0.7501 | 0.8314 | 0.9175 | 0.9495 | 0.6057 | 0.8482 | 0.6794 | 0.9728 | 0.8990 | 0.8656 | 0.9072 | 0.4650 | 0.7707 | 0.6232 | 0.8764 | 0.7683 | 0.8397 | 0.9169 |
112
+ | 0.2327 | 6.82 | 880 | 0.3177 | 0.7464 | 0.8279 | 0.9170 | 0.9540 | 0.6026 | 0.8618 | 0.6429 | 0.9603 | 0.9067 | 0.8672 | 0.9030 | 0.4690 | 0.7625 | 0.5943 | 0.8762 | 0.7777 | 0.8421 | 0.9163 |
113
+ | 0.247 | 6.98 | 900 | 0.3146 | 0.7526 | 0.8490 | 0.9174 | 0.9402 | 0.6725 | 0.8768 | 0.7106 | 0.9599 | 0.9089 | 0.8740 | 0.9039 | 0.4700 | 0.7599 | 0.6354 | 0.8837 | 0.7748 | 0.8408 | 0.9176 |
114
+ | 0.2542 | 7.13 | 920 | 0.3387 | 0.7374 | 0.8389 | 0.9121 | 0.9573 | 0.6641 | 0.8635 | 0.6808 | 0.9370 | 0.9068 | 0.8626 | 0.9174 | 0.5178 | 0.7097 | 0.5533 | 0.8533 | 0.7567 | 0.8537 | 0.9124 |
115
+ | 0.1622 | 7.29 | 940 | 0.3292 | 0.7482 | 0.8385 | 0.9186 | 0.9622 | 0.6632 | 0.8540 | 0.6643 | 0.9612 | 0.9071 | 0.8574 | 0.9170 | 0.5046 | 0.7675 | 0.5736 | 0.8747 | 0.7474 | 0.8521 | 0.9184 |
116
+ | 0.1368 | 7.44 | 960 | 0.3336 | 0.7415 | 0.8419 | 0.9151 | 0.9474 | 0.6611 | 0.8813 | 0.6698 | 0.9465 | 0.9200 | 0.8669 | 0.9064 | 0.4912 | 0.7463 | 0.5738 | 0.8774 | 0.7416 | 0.8540 | 0.9155 |
117
+ | 0.2087 | 7.6 | 980 | 0.3307 | 0.7536 | 0.8373 | 0.9185 | 0.9561 | 0.6598 | 0.8369 | 0.6690 | 0.9684 | 0.9071 | 0.8639 | 0.9108 | 0.4946 | 0.7646 | 0.6196 | 0.8785 | 0.7635 | 0.8437 | 0.9181 |
118
+ | 0.2024 | 7.75 | 1000 | 0.3194 | 0.7605 | 0.8388 | 0.9201 | 0.9688 | 0.6495 | 0.8571 | 0.6775 | 0.9608 | 0.9010 | 0.8572 | 0.9036 | 0.4891 | 0.7906 | 0.6303 | 0.8787 | 0.7939 | 0.8374 | 0.9194 |
119
+ | 0.2944 | 7.91 | 1020 | 0.3314 | 0.7541 | 0.8434 | 0.9175 | 0.9483 | 0.6595 | 0.8877 | 0.6750 | 0.9554 | 0.9124 | 0.8656 | 0.8965 | 0.4958 | 0.7686 | 0.6094 | 0.8814 | 0.7844 | 0.8423 | 0.9173 |
120
+ | 0.2359 | 8.06 | 1040 | 0.3369 | 0.7373 | 0.8209 | 0.9143 | 0.9532 | 0.6466 | 0.8037 | 0.6139 | 0.9730 | 0.8879 | 0.8680 | 0.9019 | 0.4558 | 0.7295 | 0.5742 | 0.8700 | 0.7864 | 0.8435 | 0.9135 |
121
+ | 0.3261 | 8.22 | 1060 | 0.3308 | 0.7565 | 0.8404 | 0.9195 | 0.9564 | 0.6398 | 0.8636 | 0.6987 | 0.9672 | 0.8914 | 0.8656 | 0.9047 | 0.4834 | 0.7708 | 0.6200 | 0.8783 | 0.7963 | 0.8422 | 0.9189 |
122
+ | 0.1086 | 8.37 | 1080 | 0.3293 | 0.7539 | 0.8386 | 0.9189 | 0.9516 | 0.6520 | 0.8648 | 0.6747 | 0.9675 | 0.8878 | 0.8716 | 0.9034 | 0.4811 | 0.7606 | 0.6132 | 0.8798 | 0.7950 | 0.8443 | 0.9185 |
123
+ | 0.2145 | 8.53 | 1100 | 0.3120 | 0.7568 | 0.8356 | 0.9211 | 0.9515 | 0.6277 | 0.8697 | 0.6506 | 0.9684 | 0.9067 | 0.8745 | 0.9080 | 0.4859 | 0.7750 | 0.6132 | 0.8841 | 0.7839 | 0.8478 | 0.9206 |
124
+ | 0.2278 | 8.68 | 1120 | 0.3407 | 0.7588 | 0.8470 | 0.9194 | 0.9553 | 0.7077 | 0.8781 | 0.6847 | 0.9701 | 0.8735 | 0.8599 | 0.9094 | 0.5247 | 0.7740 | 0.6140 | 0.8786 | 0.7664 | 0.8448 | 0.9191 |
125
+ | 0.983 | 8.84 | 1140 | 0.3173 | 0.7529 | 0.8349 | 0.9193 | 0.9628 | 0.6234 | 0.8341 | 0.6921 | 0.9652 | 0.8985 | 0.8684 | 0.9098 | 0.4725 | 0.7579 | 0.6328 | 0.8825 | 0.7686 | 0.8464 | 0.9186 |
126
+ | 0.0743 | 8.99 | 1160 | 0.3556 | 0.7561 | 0.8443 | 0.9175 | 0.9466 | 0.6901 | 0.8516 | 0.6914 | 0.9725 | 0.8959 | 0.8623 | 0.9040 | 0.5311 | 0.7532 | 0.6223 | 0.8820 | 0.7524 | 0.8476 | 0.9173 |
127
 
128
 
129
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7fdde9e18ec21f547eacb4fd0c40ec67fd05349ffc4f68cbf2dcc1d0a1311392
3
  size 256112508
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0360467bed2ab0357e5f2f33d0aad7e707f66da8f765ff9b445676b7eee620aa
3
  size 256112508
runs/Mar06_11-25-38_29f2fe6c9b30/events.out.tfevents.1709724340.29f2fe6c9b30.26.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09adf298c18583fdca0fd674e195319910ea3abd91013b1fd29eefd802163839
3
+ size 265059
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cdc6f785cbe9f5fbc7c4e601ba2a9adf8f48f7b2564ef025700a4b485aba5012
3
  size 4792
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04583144a48b81c7748118c27213c3c062210d08f04e08c863ab502e02e9da6d
3
  size 4792