Hugging Face's logo

jhaberbe
/
segformer-b0-finetuned-lipid-droplets-v2

Image Segmentation
Transformers
Safetensors
segformer
vision
Generated from Trainer
Inference Endpoints
Model card Files Community
jhaberbe commited on
Commit
c867b12
·
verified ·
1 Parent(s): 40c9753

End of training

Browse files
Files changed (3) hide show
  1. README.md +65 -235
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
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/mit-b0
8
  model-index:
9
  - name: segformer-b0-finetuned-lipid-droplets-v2
10
  results: []
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the jhaberbe/lipid-droplets-v3 dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0136
21
- - Mean Iou: 0.4619
22
- - Mean Accuracy: 0.9238
23
- - Overall Accuracy: 0.9238
24
  - Accuracy Unlabeled: nan
25
- - Accuracy Lipid: 0.9238
26
  - Iou Unlabeled: 0.0
27
- - Iou Lipid: 0.9238
28
 
29
  ## Model description
30
 
@@ -49,237 +49,67 @@ The following hyperparameters were used during training:
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 500
53
 
54
  ### Training results
55
 
56
- | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Lipid | Iou Unlabeled | Iou Lipid |
57
- |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:---------:|
58
- | 0.5743 | 2.22 | 20 | 0.6276 | 0.2015 | 0.4030 | 0.4030 | nan | 0.4030 | 0.0 | 0.4030 |
59
- | 0.4173 | 4.44 | 40 | 0.5383 | 0.3448 | 0.6896 | 0.6896 | nan | 0.6896 | 0.0 | 0.6896 |
60
- | 0.333 | 6.67 | 60 | 0.4480 | 0.4088 | 0.8177 | 0.8177 | nan | 0.8177 | 0.0 | 0.8177 |
61
- | 0.2819 | 8.89 | 80 | 0.3045 | 0.3712 | 0.7424 | 0.7424 | nan | 0.7424 | 0.0 | 0.7424 |
62
- | 0.2194 | 11.11 | 100 | 0.3314 | 0.4222 | 0.8443 | 0.8443 | nan | 0.8443 | 0.0 | 0.8443 |
63
- | 0.1676 | 13.33 | 120 | 0.2670 | 0.3984 | 0.7968 | 0.7968 | nan | 0.7968 | 0.0 | 0.7968 |
64
- | 0.1567 | 15.56 | 140 | 0.2553 | 0.2902 | 0.5804 | 0.5804 | nan | 0.5804 | 0.0 | 0.5804 |
65
- | 0.1211 | 17.78 | 160 | 0.2725 | 0.4144 | 0.8287 | 0.8287 | nan | 0.8287 | 0.0 | 0.8287 |
66
- | 0.1616 | 20.0 | 180 | 0.1689 | 0.3260 | 0.6521 | 0.6521 | nan | 0.6521 | 0.0 | 0.6521 |
67
- | 0.0906 | 22.22 | 200 | 0.1749 | 0.3633 | 0.7265 | 0.7265 | nan | 0.7265 | 0.0 | 0.7265 |
68
- | 0.0999 | 24.44 | 220 | 0.1396 | 0.3785 | 0.7569 | 0.7569 | nan | 0.7569 | 0.0 | 0.7569 |
69
- | 0.0867 | 26.67 | 240 | 0.2055 | 0.4396 | 0.8791 | 0.8791 | nan | 0.8791 | 0.0 | 0.8791 |
70
- | 0.0763 | 28.89 | 260 | 0.1603 | 0.4037 | 0.8073 | 0.8073 | nan | 0.8073 | 0.0 | 0.8073 |
71
- | 0.0897 | 31.11 | 280 | 0.1673 | 0.4128 | 0.8255 | 0.8255 | nan | 0.8255 | 0.0 | 0.8255 |
72
- | 0.0741 | 33.33 | 300 | 0.1626 | 0.4092 | 0.8184 | 0.8184 | nan | 0.8184 | 0.0 | 0.8184 |
73
- | 0.0626 | 35.56 | 320 | 0.1438 | 0.4162 | 0.8324 | 0.8324 | nan | 0.8324 | 0.0 | 0.8324 |
74
- | 0.0483 | 37.78 | 340 | 0.1334 | 0.4162 | 0.8323 | 0.8323 | nan | 0.8323 | 0.0 | 0.8323 |
75
- | 0.0905 | 40.0 | 360 | 0.1267 | 0.4234 | 0.8468 | 0.8468 | nan | 0.8468 | 0.0 | 0.8468 |
76
- | 0.0573 | 42.22 | 380 | 0.0694 | 0.3928 | 0.7856 | 0.7856 | nan | 0.7856 | 0.0 | 0.7856 |
77
- | 0.0422 | 44.44 | 400 | 0.1001 | 0.4276 | 0.8552 | 0.8552 | nan | 0.8552 | 0.0 | 0.8552 |
78
- | 0.0523 | 46.67 | 420 | 0.1224 | 0.4323 | 0.8647 | 0.8647 | nan | 0.8647 | 0.0 | 0.8647 |
79
- | 0.0399 | 48.89 | 440 | 0.1203 | 0.4430 | 0.8860 | 0.8860 | nan | 0.8860 | 0.0 | 0.8860 |
80
- | 0.0398 | 51.11 | 460 | 0.0790 | 0.4073 | 0.8146 | 0.8146 | nan | 0.8146 | 0.0 | 0.8146 |
81
- | 0.0406 | 53.33 | 480 | 0.1032 | 0.4511 | 0.9022 | 0.9022 | nan | 0.9022 | 0.0 | 0.9022 |
82
- | 0.0443 | 55.56 | 500 | 0.0835 | 0.4246 | 0.8492 | 0.8492 | nan | 0.8492 | 0.0 | 0.8492 |
83
- | 0.0516 | 57.78 | 520 | 0.1175 | 0.4414 | 0.8828 | 0.8828 | nan | 0.8828 | 0.0 | 0.8828 |
84
- | 0.0716 | 60.0 | 540 | 0.0756 | 0.4190 | 0.8380 | 0.8380 | nan | 0.8380 | 0.0 | 0.8380 |
85
- | 0.0464 | 62.22 | 560 | 0.1278 | 0.4503 | 0.9006 | 0.9006 | nan | 0.9006 | 0.0 | 0.9006 |
86
- | 0.0298 | 64.44 | 580 | 0.0867 | 0.4369 | 0.8737 | 0.8737 | nan | 0.8737 | 0.0 | 0.8737 |
87
- | 0.0493 | 66.67 | 600 | 0.0809 | 0.4378 | 0.8756 | 0.8756 | nan | 0.8756 | 0.0 | 0.8756 |
88
- | 0.0493 | 68.89 | 620 | 0.0620 | 0.4057 | 0.8113 | 0.8113 | nan | 0.8113 | 0.0 | 0.8113 |
89
- | 0.0426 | 71.11 | 640 | 0.0774 | 0.4361 | 0.8721 | 0.8721 | nan | 0.8721 | 0.0 | 0.8721 |
90
- | 0.0489 | 73.33 | 660 | 0.0705 | 0.4481 | 0.8961 | 0.8961 | nan | 0.8961 | 0.0 | 0.8961 |
91
- | 0.0442 | 75.56 | 680 | 0.0596 | 0.4316 | 0.8632 | 0.8632 | nan | 0.8632 | 0.0 | 0.8632 |
92
- | 0.0304 | 77.78 | 700 | 0.0985 | 0.4573 | 0.9146 | 0.9146 | nan | 0.9146 | 0.0 | 0.9146 |
93
- | 0.0386 | 80.0 | 720 | 0.0554 | 0.4391 | 0.8781 | 0.8781 | nan | 0.8781 | 0.0 | 0.8781 |
94
- | 0.0299 | 82.22 | 740 | 0.0936 | 0.4608 | 0.9215 | 0.9215 | nan | 0.9215 | 0.0 | 0.9215 |
95
- | 0.0469 | 84.44 | 760 | 0.1044 | 0.4751 | 0.9503 | 0.9503 | nan | 0.9503 | 0.0 | 0.9503 |
96
- | 0.0294 | 86.67 | 780 | 0.0469 | 0.4297 | 0.8593 | 0.8593 | nan | 0.8593 | 0.0 | 0.8593 |
97
- | 0.0363 | 88.89 | 800 | 0.0883 | 0.4624 | 0.9249 | 0.9249 | nan | 0.9249 | 0.0 | 0.9249 |
98
- | 0.0256 | 91.11 | 820 | 0.0388 | 0.4120 | 0.8241 | 0.8241 | nan | 0.8241 | 0.0 | 0.8241 |
99
- | 0.0302 | 93.33 | 840 | 0.0664 | 0.4562 | 0.9123 | 0.9123 | nan | 0.9123 | 0.0 | 0.9123 |
100
- | 0.0344 | 95.56 | 860 | 0.0905 | 0.4702 | 0.9403 | 0.9403 | nan | 0.9403 | 0.0 | 0.9403 |
101
- | 0.0322 | 97.78 | 880 | 0.0599 | 0.4528 | 0.9055 | 0.9055 | nan | 0.9055 | 0.0 | 0.9055 |
102
- | 0.0258 | 100.0 | 900 | 0.0718 | 0.4516 | 0.9032 | 0.9032 | nan | 0.9032 | 0.0 | 0.9032 |
103
- | 0.0335 | 102.22 | 920 | 0.0477 | 0.4350 | 0.8700 | 0.8700 | nan | 0.8700 | 0.0 | 0.8700 |
104
- | 0.0344 | 104.44 | 940 | 0.0584 | 0.4491 | 0.8983 | 0.8983 | nan | 0.8983 | 0.0 | 0.8983 |
105
- | 0.0333 | 106.67 | 960 | 0.0707 | 0.4572 | 0.9144 | 0.9144 | nan | 0.9144 | 0.0 | 0.9144 |
106
- | 0.0243 | 108.89 | 980 | 0.0708 | 0.4662 | 0.9325 | 0.9325 | nan | 0.9325 | 0.0 | 0.9325 |
107
- | 0.027 | 111.11 | 1000 | 0.0607 | 0.4515 | 0.9031 | 0.9031 | nan | 0.9031 | 0.0 | 0.9031 |
108
- | 0.0257 | 113.33 | 1020 | 0.0406 | 0.4296 | 0.8592 | 0.8592 | nan | 0.8592 | 0.0 | 0.8592 |
109
- | 0.0205 | 115.56 | 1040 | 0.0494 | 0.4514 | 0.9028 | 0.9028 | nan | 0.9028 | 0.0 | 0.9028 |
110
- | 0.0455 | 117.78 | 1060 | 0.0686 | 0.4630 | 0.9261 | 0.9261 | nan | 0.9261 | 0.0 | 0.9261 |
111
- | 0.0307 | 120.0 | 1080 | 0.0505 | 0.4542 | 0.9083 | 0.9083 | nan | 0.9083 | 0.0 | 0.9083 |
112
- | 0.0306 | 122.22 | 1100 | 0.0699 | 0.4692 | 0.9384 | 0.9384 | nan | 0.9384 | 0.0 | 0.9384 |
113
- | 0.023 | 124.44 | 1120 | 0.0495 | 0.4556 | 0.9112 | 0.9112 | nan | 0.9112 | 0.0 | 0.9112 |
114
- | 0.0221 | 126.67 | 1140 | 0.0387 | 0.4378 | 0.8757 | 0.8757 | nan | 0.8757 | 0.0 | 0.8757 |
115
- | 0.0291 | 128.89 | 1160 | 0.0329 | 0.4234 | 0.8468 | 0.8468 | nan | 0.8468 | 0.0 | 0.8468 |
116
- | 0.0321 | 131.11 | 1180 | 0.0557 | 0.4712 | 0.9424 | 0.9424 | nan | 0.9424 | 0.0 | 0.9424 |
117
- | 0.0344 | 133.33 | 1200 | 0.0559 | 0.4661 | 0.9322 | 0.9322 | nan | 0.9322 | 0.0 | 0.9322 |
118
- | 0.0284 | 135.56 | 1220 | 0.0405 | 0.4398 | 0.8796 | 0.8796 | nan | 0.8796 | 0.0 | 0.8796 |
119
- | 0.0301 | 137.78 | 1240 | 0.0503 | 0.4646 | 0.9292 | 0.9292 | nan | 0.9292 | 0.0 | 0.9292 |
120
- | 0.0317 | 140.0 | 1260 | 0.0330 | 0.4334 | 0.8667 | 0.8667 | nan | 0.8667 | 0.0 | 0.8667 |
121
- | 0.0424 | 142.22 | 1280 | 0.0398 | 0.4503 | 0.9007 | 0.9007 | nan | 0.9007 | 0.0 | 0.9007 |
122
- | 0.0232 | 144.44 | 1300 | 0.0423 | 0.4573 | 0.9146 | 0.9146 | nan | 0.9146 | 0.0 | 0.9146 |
123
- | 0.0297 | 146.67 | 1320 | 0.0442 | 0.4627 | 0.9254 | 0.9254 | nan | 0.9254 | 0.0 | 0.9254 |
124
- | 0.0298 | 148.89 | 1340 | 0.0396 | 0.4501 | 0.9002 | 0.9002 | nan | 0.9002 | 0.0 | 0.9002 |
125
- | 0.0225 | 151.11 | 1360 | 0.0334 | 0.4384 | 0.8767 | 0.8767 | nan | 0.8767 | 0.0 | 0.8767 |
126
- | 0.0343 | 153.33 | 1380 | 0.0394 | 0.4542 | 0.9085 | 0.9085 | nan | 0.9085 | 0.0 | 0.9085 |
127
- | 0.0181 | 155.56 | 1400 | 0.0413 | 0.4642 | 0.9284 | 0.9284 | nan | 0.9284 | 0.0 | 0.9284 |
128
- | 0.0306 | 157.78 | 1420 | 0.0316 | 0.4428 | 0.8857 | 0.8857 | nan | 0.8857 | 0.0 | 0.8857 |
129
- | 0.0204 | 160.0 | 1440 | 0.0417 | 0.4659 | 0.9318 | 0.9318 | nan | 0.9318 | 0.0 | 0.9318 |
130
- | 0.0277 | 162.22 | 1460 | 0.0332 | 0.4523 | 0.9046 | 0.9046 | nan | 0.9046 | 0.0 | 0.9046 |
131
- | 0.0184 | 164.44 | 1480 | 0.0383 | 0.4656 | 0.9311 | 0.9311 | nan | 0.9311 | 0.0 | 0.9311 |
132
- | 0.0254 | 166.67 | 1500 | 0.0436 | 0.4687 | 0.9374 | 0.9374 | nan | 0.9374 | 0.0 | 0.9374 |
133
- | 0.0293 | 168.89 | 1520 | 0.0285 | 0.4439 | 0.8877 | 0.8877 | nan | 0.8877 | 0.0 | 0.8877 |
134
- | 0.0176 | 171.11 | 1540 | 0.0305 | 0.4537 | 0.9074 | 0.9074 | nan | 0.9074 | 0.0 | 0.9074 |
135
- | 0.0282 | 173.33 | 1560 | 0.0341 | 0.4566 | 0.9133 | 0.9133 | nan | 0.9133 | 0.0 | 0.9133 |
136
- | 0.019 | 175.56 | 1580 | 0.0334 | 0.4578 | 0.9155 | 0.9155 | nan | 0.9155 | 0.0 | 0.9155 |
137
- | 0.0266 | 177.78 | 1600 | 0.0341 | 0.4603 | 0.9205 | 0.9205 | nan | 0.9205 | 0.0 | 0.9205 |
138
- | 0.0231 | 180.0 | 1620 | 0.0275 | 0.4419 | 0.8837 | 0.8837 | nan | 0.8837 | 0.0 | 0.8837 |
139
- | 0.0161 | 182.22 | 1640 | 0.0318 | 0.4606 | 0.9212 | 0.9212 | nan | 0.9212 | 0.0 | 0.9212 |
140
- | 0.0258 | 184.44 | 1660 | 0.0312 | 0.4512 | 0.9025 | 0.9025 | nan | 0.9025 | 0.0 | 0.9025 |
141
- | 0.0205 | 186.67 | 1680 | 0.0349 | 0.4657 | 0.9314 | 0.9314 | nan | 0.9314 | 0.0 | 0.9314 |
142
- | 0.0166 | 188.89 | 1700 | 0.0321 | 0.4628 | 0.9256 | 0.9256 | nan | 0.9256 | 0.0 | 0.9256 |
143
- | 0.0179 | 191.11 | 1720 | 0.0275 | 0.4603 | 0.9207 | 0.9207 | nan | 0.9207 | 0.0 | 0.9207 |
144
- | 0.0241 | 193.33 | 1740 | 0.0304 | 0.4611 | 0.9221 | 0.9221 | nan | 0.9221 | 0.0 | 0.9221 |
145
- | 0.0219 | 195.56 | 1760 | 0.0317 | 0.4631 | 0.9261 | 0.9261 | nan | 0.9261 | 0.0 | 0.9261 |
146
- | 0.0335 | 197.78 | 1780 | 0.0360 | 0.4677 | 0.9354 | 0.9354 | nan | 0.9354 | 0.0 | 0.9354 |
147
- | 0.0149 | 200.0 | 1800 | 0.0317 | 0.4659 | 0.9318 | 0.9318 | nan | 0.9318 | 0.0 | 0.9318 |
148
- | 0.0215 | 202.22 | 1820 | 0.0240 | 0.4419 | 0.8838 | 0.8838 | nan | 0.8838 | 0.0 | 0.8838 |
149
- | 0.0274 | 204.44 | 1840 | 0.0211 | 0.4290 | 0.8581 | 0.8581 | nan | 0.8581 | 0.0 | 0.8581 |
150
- | 0.015 | 206.67 | 1860 | 0.0224 | 0.4443 | 0.8885 | 0.8885 | nan | 0.8885 | 0.0 | 0.8885 |
151
- | 0.0274 | 208.89 | 1880 | 0.0214 | 0.4420 | 0.8840 | 0.8840 | nan | 0.8840 | 0.0 | 0.8840 |
152
- | 0.0169 | 211.11 | 1900 | 0.0206 | 0.4430 | 0.8859 | 0.8859 | nan | 0.8859 | 0.0 | 0.8859 |
153
- | 0.0233 | 213.33 | 1920 | 0.0249 | 0.4581 | 0.9162 | 0.9162 | nan | 0.9162 | 0.0 | 0.9162 |
154
- | 0.0155 | 215.56 | 1940 | 0.0301 | 0.4659 | 0.9318 | 0.9318 | nan | 0.9318 | 0.0 | 0.9318 |
155
- | 0.0171 | 217.78 | 1960 | 0.0282 | 0.4601 | 0.9202 | 0.9202 | nan | 0.9202 | 0.0 | 0.9202 |
156
- | 0.0128 | 220.0 | 1980 | 0.0281 | 0.4642 | 0.9283 | 0.9283 | nan | 0.9283 | 0.0 | 0.9283 |
157
- | 0.0221 | 222.22 | 2000 | 0.0273 | 0.4578 | 0.9156 | 0.9156 | nan | 0.9156 | 0.0 | 0.9156 |
158
- | 0.0194 | 224.44 | 2020 | 0.0244 | 0.4578 | 0.9156 | 0.9156 | nan | 0.9156 | 0.0 | 0.9156 |
159
- | 0.0229 | 226.67 | 2040 | 0.0275 | 0.4683 | 0.9366 | 0.9366 | nan | 0.9366 | 0.0 | 0.9366 |
160
- | 0.0148 | 228.89 | 2060 | 0.0308 | 0.4700 | 0.9400 | 0.9400 | nan | 0.9400 | 0.0 | 0.9400 |
161
- | 0.0141 | 231.11 | 2080 | 0.0226 | 0.4567 | 0.9135 | 0.9135 | nan | 0.9135 | 0.0 | 0.9135 |
162
- | 0.0143 | 233.33 | 2100 | 0.0260 | 0.4671 | 0.9342 | 0.9342 | nan | 0.9342 | 0.0 | 0.9342 |
163
- | 0.0215 | 235.56 | 2120 | 0.0232 | 0.4544 | 0.9088 | 0.9088 | nan | 0.9088 | 0.0 | 0.9088 |
164
- | 0.0171 | 237.78 | 2140 | 0.0232 | 0.4584 | 0.9168 | 0.9168 | nan | 0.9168 | 0.0 | 0.9168 |
165
- | 0.0152 | 240.0 | 2160 | 0.0227 | 0.4533 | 0.9066 | 0.9066 | nan | 0.9066 | 0.0 | 0.9066 |
166
- | 0.0232 | 242.22 | 2180 | 0.0228 | 0.4570 | 0.9139 | 0.9139 | nan | 0.9139 | 0.0 | 0.9139 |
167
- | 0.0219 | 244.44 | 2200 | 0.0237 | 0.4575 | 0.9151 | 0.9151 | nan | 0.9151 | 0.0 | 0.9151 |
168
- | 0.0206 | 246.67 | 2220 | 0.0269 | 0.4724 | 0.9447 | 0.9447 | nan | 0.9447 | 0.0 | 0.9447 |
169
- | 0.013 | 248.89 | 2240 | 0.0237 | 0.4629 | 0.9257 | 0.9257 | nan | 0.9257 | 0.0 | 0.9257 |
170
- | 0.0305 | 251.11 | 2260 | 0.0232 | 0.4621 | 0.9242 | 0.9242 | nan | 0.9242 | 0.0 | 0.9242 |
171
- | 0.0235 | 253.33 | 2280 | 0.0208 | 0.4559 | 0.9118 | 0.9118 | nan | 0.9118 | 0.0 | 0.9118 |
172
- | 0.014 | 255.56 | 2300 | 0.0233 | 0.4683 | 0.9366 | 0.9366 | nan | 0.9366 | 0.0 | 0.9366 |
173
- | 0.022 | 257.78 | 2320 | 0.0214 | 0.4509 | 0.9018 | 0.9018 | nan | 0.9018 | 0.0 | 0.9018 |
174
- | 0.013 | 260.0 | 2340 | 0.0210 | 0.4563 | 0.9126 | 0.9126 | nan | 0.9126 | 0.0 | 0.9126 |
175
- | 0.0196 | 262.22 | 2360 | 0.0214 | 0.4637 | 0.9275 | 0.9275 | nan | 0.9275 | 0.0 | 0.9275 |
176
- | 0.0148 | 264.44 | 2380 | 0.0216 | 0.4639 | 0.9278 | 0.9278 | nan | 0.9278 | 0.0 | 0.9278 |
177
- | 0.0192 | 266.67 | 2400 | 0.0216 | 0.4654 | 0.9309 | 0.9309 | nan | 0.9309 | 0.0 | 0.9309 |
178
- | 0.0183 | 268.89 | 2420 | 0.0197 | 0.4553 | 0.9106 | 0.9106 | nan | 0.9106 | 0.0 | 0.9106 |
179
- | 0.0158 | 271.11 | 2440 | 0.0190 | 0.4565 | 0.9130 | 0.9130 | nan | 0.9130 | 0.0 | 0.9130 |
180
- | 0.0191 | 273.33 | 2460 | 0.0202 | 0.4619 | 0.9238 | 0.9238 | nan | 0.9238 | 0.0 | 0.9238 |
181
- | 0.0131 | 275.56 | 2480 | 0.0216 | 0.4623 | 0.9245 | 0.9245 | nan | 0.9245 | 0.0 | 0.9245 |
182
- | 0.0138 | 277.78 | 2500 | 0.0199 | 0.4600 | 0.9201 | 0.9201 | nan | 0.9201 | 0.0 | 0.9201 |
183
- | 0.015 | 280.0 | 2520 | 0.0183 | 0.4579 | 0.9157 | 0.9157 | nan | 0.9157 | 0.0 | 0.9157 |
184
- | 0.0182 | 282.22 | 2540 | 0.0177 | 0.4555 | 0.9109 | 0.9109 | nan | 0.9109 | 0.0 | 0.9109 |
185
- | 0.015 | 284.44 | 2560 | 0.0230 | 0.4727 | 0.9454 | 0.9454 | nan | 0.9454 | 0.0 | 0.9454 |
186
- | 0.0188 | 286.67 | 2580 | 0.0200 | 0.4587 | 0.9174 | 0.9174 | nan | 0.9174 | 0.0 | 0.9174 |
187
- | 0.012 | 288.89 | 2600 | 0.0203 | 0.4650 | 0.9301 | 0.9301 | nan | 0.9301 | 0.0 | 0.9301 |
188
- | 0.0219 | 291.11 | 2620 | 0.0215 | 0.4687 | 0.9374 | 0.9374 | nan | 0.9374 | 0.0 | 0.9374 |
189
- | 0.0222 | 293.33 | 2640 | 0.0186 | 0.4612 | 0.9224 | 0.9224 | nan | 0.9224 | 0.0 | 0.9224 |
190
- | 0.0184 | 295.56 | 2660 | 0.0189 | 0.4575 | 0.9150 | 0.9150 | nan | 0.9150 | 0.0 | 0.9150 |
191
- | 0.0202 | 297.78 | 2680 | 0.0192 | 0.4623 | 0.9245 | 0.9245 | nan | 0.9245 | 0.0 | 0.9245 |
192
- | 0.0108 | 300.0 | 2700 | 0.0192 | 0.4615 | 0.9230 | 0.9230 | nan | 0.9230 | 0.0 | 0.9230 |
193
- | 0.0154 | 302.22 | 2720 | 0.0187 | 0.4608 | 0.9216 | 0.9216 | nan | 0.9216 | 0.0 | 0.9216 |
194
- | 0.0184 | 304.44 | 2740 | 0.0199 | 0.4659 | 0.9318 | 0.9318 | nan | 0.9318 | 0.0 | 0.9318 |
195
- | 0.0141 | 306.67 | 2760 | 0.0211 | 0.4722 | 0.9445 | 0.9445 | nan | 0.9445 | 0.0 | 0.9445 |
196
- | 0.0182 | 308.89 | 2780 | 0.0191 | 0.4640 | 0.9280 | 0.9280 | nan | 0.9280 | 0.0 | 0.9280 |
197
- | 0.0137 | 311.11 | 2800 | 0.0162 | 0.4359 | 0.8717 | 0.8717 | nan | 0.8717 | 0.0 | 0.8717 |
198
- | 0.0216 | 313.33 | 2820 | 0.0166 | 0.4597 | 0.9193 | 0.9193 | nan | 0.9193 | 0.0 | 0.9193 |
199
- | 0.0212 | 315.56 | 2840 | 0.0168 | 0.4567 | 0.9134 | 0.9134 | nan | 0.9134 | 0.0 | 0.9134 |
200
- | 0.0125 | 317.78 | 2860 | 0.0171 | 0.4606 | 0.9212 | 0.9212 | nan | 0.9212 | 0.0 | 0.9212 |
201
- | 0.0105 | 320.0 | 2880 | 0.0175 | 0.4600 | 0.9200 | 0.9200 | nan | 0.9200 | 0.0 | 0.9200 |
202
- | 0.0095 | 322.22 | 2900 | 0.0187 | 0.4671 | 0.9341 | 0.9341 | nan | 0.9341 | 0.0 | 0.9341 |
203
- | 0.0245 | 324.44 | 2920 | 0.0170 | 0.4582 | 0.9165 | 0.9165 | nan | 0.9165 | 0.0 | 0.9165 |
204
- | 0.0131 | 326.67 | 2940 | 0.0161 | 0.4570 | 0.9139 | 0.9139 | nan | 0.9139 | 0.0 | 0.9139 |
205
- | 0.0178 | 328.89 | 2960 | 0.0179 | 0.4635 | 0.9270 | 0.9270 | nan | 0.9270 | 0.0 | 0.9270 |
206
- | 0.0135 | 331.11 | 2980 | 0.0169 | 0.4604 | 0.9208 | 0.9208 | nan | 0.9208 | 0.0 | 0.9208 |
207
- | 0.0177 | 333.33 | 3000 | 0.0167 | 0.4577 | 0.9153 | 0.9153 | nan | 0.9153 | 0.0 | 0.9153 |
208
- | 0.0124 | 335.56 | 3020 | 0.0180 | 0.4674 | 0.9349 | 0.9349 | nan | 0.9349 | 0.0 | 0.9349 |
209
- | 0.0143 | 337.78 | 3040 | 0.0157 | 0.4450 | 0.8900 | 0.8900 | nan | 0.8900 | 0.0 | 0.8900 |
210
- | 0.0212 | 340.0 | 3060 | 0.0173 | 0.4643 | 0.9286 | 0.9286 | nan | 0.9286 | 0.0 | 0.9286 |
211
- | 0.017 | 342.22 | 3080 | 0.0157 | 0.4518 | 0.9035 | 0.9035 | nan | 0.9035 | 0.0 | 0.9035 |
212
- | 0.0193 | 344.44 | 3100 | 0.0167 | 0.4637 | 0.9274 | 0.9274 | nan | 0.9274 | 0.0 | 0.9274 |
213
- | 0.0106 | 346.67 | 3120 | 0.0162 | 0.4531 | 0.9062 | 0.9062 | nan | 0.9062 | 0.0 | 0.9062 |
214
- | 0.0195 | 348.89 | 3140 | 0.0177 | 0.4642 | 0.9284 | 0.9284 | nan | 0.9284 | 0.0 | 0.9284 |
215
- | 0.0126 | 351.11 | 3160 | 0.0169 | 0.4702 | 0.9405 | 0.9405 | nan | 0.9405 | 0.0 | 0.9405 |
216
- | 0.0117 | 353.33 | 3180 | 0.0151 | 0.4534 | 0.9068 | 0.9068 | nan | 0.9068 | 0.0 | 0.9068 |
217
- | 0.0137 | 355.56 | 3200 | 0.0171 | 0.4685 | 0.9369 | 0.9369 | nan | 0.9369 | 0.0 | 0.9369 |
218
- | 0.0169 | 357.78 | 3220 | 0.0153 | 0.4539 | 0.9078 | 0.9078 | nan | 0.9078 | 0.0 | 0.9078 |
219
- | 0.0285 | 360.0 | 3240 | 0.0170 | 0.4609 | 0.9218 | 0.9218 | nan | 0.9218 | 0.0 | 0.9218 |
220
- | 0.0194 | 362.22 | 3260 | 0.0166 | 0.4628 | 0.9256 | 0.9256 | nan | 0.9256 | 0.0 | 0.9256 |
221
- | 0.0159 | 364.44 | 3280 | 0.0164 | 0.4601 | 0.9201 | 0.9201 | nan | 0.9201 | 0.0 | 0.9201 |
222
- | 0.0095 | 366.67 | 3300 | 0.0146 | 0.4538 | 0.9076 | 0.9076 | nan | 0.9076 | 0.0 | 0.9076 |
223
- | 0.017 | 368.89 | 3320 | 0.0153 | 0.4573 | 0.9145 | 0.9145 | nan | 0.9145 | 0.0 | 0.9145 |
224
- | 0.0123 | 371.11 | 3340 | 0.0165 | 0.4672 | 0.9344 | 0.9344 | nan | 0.9344 | 0.0 | 0.9344 |
225
- | 0.0213 | 373.33 | 3360 | 0.0165 | 0.4677 | 0.9353 | 0.9353 | nan | 0.9353 | 0.0 | 0.9353 |
226
- | 0.0152 | 375.56 | 3380 | 0.0155 | 0.4645 | 0.9291 | 0.9291 | nan | 0.9291 | 0.0 | 0.9291 |
227
- | 0.016 | 377.78 | 3400 | 0.0154 | 0.4514 | 0.9029 | 0.9029 | nan | 0.9029 | 0.0 | 0.9029 |
228
- | 0.025 | 380.0 | 3420 | 0.0153 | 0.4553 | 0.9107 | 0.9107 | nan | 0.9107 | 0.0 | 0.9107 |
229
- | 0.0107 | 382.22 | 3440 | 0.0168 | 0.4649 | 0.9299 | 0.9299 | nan | 0.9299 | 0.0 | 0.9299 |
230
- | 0.0153 | 384.44 | 3460 | 0.0151 | 0.4607 | 0.9214 | 0.9214 | nan | 0.9214 | 0.0 | 0.9214 |
231
- | 0.0095 | 386.67 | 3480 | 0.0142 | 0.4530 | 0.9061 | 0.9061 | nan | 0.9061 | 0.0 | 0.9061 |
232
- | 0.0106 | 388.89 | 3500 | 0.0156 | 0.4634 | 0.9268 | 0.9268 | nan | 0.9268 | 0.0 | 0.9268 |
233
- | 0.0111 | 391.11 | 3520 | 0.0157 | 0.4634 | 0.9268 | 0.9268 | nan | 0.9268 | 0.0 | 0.9268 |
234
- | 0.0167 | 393.33 | 3540 | 0.0149 | 0.4613 | 0.9227 | 0.9227 | nan | 0.9227 | 0.0 | 0.9227 |
235
- | 0.015 | 395.56 | 3560 | 0.0155 | 0.4673 | 0.9345 | 0.9345 | nan | 0.9345 | 0.0 | 0.9345 |
236
- | 0.0109 | 397.78 | 3580 | 0.0159 | 0.4713 | 0.9426 | 0.9426 | nan | 0.9426 | 0.0 | 0.9426 |
237
- | 0.013 | 400.0 | 3600 | 0.0162 | 0.4644 | 0.9287 | 0.9287 | nan | 0.9287 | 0.0 | 0.9287 |
238
- | 0.017 | 402.22 | 3620 | 0.0146 | 0.4568 | 0.9137 | 0.9137 | nan | 0.9137 | 0.0 | 0.9137 |
239
- | 0.0182 | 404.44 | 3640 | 0.0150 | 0.4629 | 0.9259 | 0.9259 | nan | 0.9259 | 0.0 | 0.9259 |
240
- | 0.0122 | 406.67 | 3660 | 0.0155 | 0.4659 | 0.9318 | 0.9318 | nan | 0.9318 | 0.0 | 0.9318 |
241
- | 0.0103 | 408.89 | 3680 | 0.0146 | 0.4604 | 0.9207 | 0.9207 | nan | 0.9207 | 0.0 | 0.9207 |
242
- | 0.0144 | 411.11 | 3700 | 0.0153 | 0.4630 | 0.9260 | 0.9260 | nan | 0.9260 | 0.0 | 0.9260 |
243
- | 0.013 | 413.33 | 3720 | 0.0141 | 0.4544 | 0.9089 | 0.9089 | nan | 0.9089 | 0.0 | 0.9089 |
244
- | 0.019 | 415.56 | 3740 | 0.0162 | 0.4683 | 0.9366 | 0.9366 | nan | 0.9366 | 0.0 | 0.9366 |
245
- | 0.0161 | 417.78 | 3760 | 0.0163 | 0.4705 | 0.9409 | 0.9409 | nan | 0.9409 | 0.0 | 0.9409 |
246
- | 0.0198 | 420.0 | 3780 | 0.0158 | 0.4682 | 0.9365 | 0.9365 | nan | 0.9365 | 0.0 | 0.9365 |
247
- | 0.01 | 422.22 | 3800 | 0.0145 | 0.4662 | 0.9323 | 0.9323 | nan | 0.9323 | 0.0 | 0.9323 |
248
- | 0.0169 | 424.44 | 3820 | 0.0155 | 0.4674 | 0.9349 | 0.9349 | nan | 0.9349 | 0.0 | 0.9349 |
249
- | 0.011 | 426.67 | 3840 | 0.0145 | 0.4622 | 0.9245 | 0.9245 | nan | 0.9245 | 0.0 | 0.9245 |
250
- | 0.0117 | 428.89 | 3860 | 0.0139 | 0.4570 | 0.9139 | 0.9139 | nan | 0.9139 | 0.0 | 0.9139 |
251
- | 0.0114 | 431.11 | 3880 | 0.0150 | 0.4638 | 0.9275 | 0.9275 | nan | 0.9275 | 0.0 | 0.9275 |
252
- | 0.0185 | 433.33 | 3900 | 0.0150 | 0.4654 | 0.9309 | 0.9309 | nan | 0.9309 | 0.0 | 0.9309 |
253
- | 0.0144 | 435.56 | 3920 | 0.0143 | 0.4647 | 0.9293 | 0.9293 | nan | 0.9293 | 0.0 | 0.9293 |
254
- | 0.025 | 437.78 | 3940 | 0.0141 | 0.4623 | 0.9246 | 0.9246 | nan | 0.9246 | 0.0 | 0.9246 |
255
- | 0.0142 | 440.0 | 3960 | 0.0150 | 0.4662 | 0.9323 | 0.9323 | nan | 0.9323 | 0.0 | 0.9323 |
256
- | 0.0208 | 442.22 | 3980 | 0.0149 | 0.4648 | 0.9297 | 0.9297 | nan | 0.9297 | 0.0 | 0.9297 |
257
- | 0.0113 | 444.44 | 4000 | 0.0149 | 0.4665 | 0.9330 | 0.9330 | nan | 0.9330 | 0.0 | 0.9330 |
258
- | 0.01 | 446.67 | 4020 | 0.0151 | 0.4680 | 0.9359 | 0.9359 | nan | 0.9359 | 0.0 | 0.9359 |
259
- | 0.012 | 448.89 | 4040 | 0.0151 | 0.4665 | 0.9331 | 0.9331 | nan | 0.9331 | 0.0 | 0.9331 |
260
- | 0.0127 | 451.11 | 4060 | 0.0145 | 0.4624 | 0.9249 | 0.9249 | nan | 0.9249 | 0.0 | 0.9249 |
261
- | 0.0183 | 453.33 | 4080 | 0.0135 | 0.4578 | 0.9156 | 0.9156 | nan | 0.9156 | 0.0 | 0.9156 |
262
- | 0.0097 | 455.56 | 4100 | 0.0148 | 0.4659 | 0.9317 | 0.9317 | nan | 0.9317 | 0.0 | 0.9317 |
263
- | 0.0107 | 457.78 | 4120 | 0.0139 | 0.4609 | 0.9218 | 0.9218 | nan | 0.9218 | 0.0 | 0.9218 |
264
- | 0.0187 | 460.0 | 4140 | 0.0145 | 0.4645 | 0.9289 | 0.9289 | nan | 0.9289 | 0.0 | 0.9289 |
265
- | 0.0231 | 462.22 | 4160 | 0.0135 | 0.4596 | 0.9192 | 0.9192 | nan | 0.9192 | 0.0 | 0.9192 |
266
- | 0.0198 | 464.44 | 4180 | 0.0143 | 0.4605 | 0.9209 | 0.9209 | nan | 0.9209 | 0.0 | 0.9209 |
267
- | 0.0172 | 466.67 | 4200 | 0.0141 | 0.4617 | 0.9234 | 0.9234 | nan | 0.9234 | 0.0 | 0.9234 |
268
- | 0.0148 | 468.89 | 4220 | 0.0141 | 0.4594 | 0.9189 | 0.9189 | nan | 0.9189 | 0.0 | 0.9189 |
269
- | 0.0167 | 471.11 | 4240 | 0.0137 | 0.4610 | 0.9220 | 0.9220 | nan | 0.9220 | 0.0 | 0.9220 |
270
- | 0.0165 | 473.33 | 4260 | 0.0138 | 0.4602 | 0.9204 | 0.9204 | nan | 0.9204 | 0.0 | 0.9204 |
271
- | 0.0137 | 475.56 | 4280 | 0.0136 | 0.4589 | 0.9177 | 0.9177 | nan | 0.9177 | 0.0 | 0.9177 |
272
- | 0.0084 | 477.78 | 4300 | 0.0154 | 0.4704 | 0.9409 | 0.9409 | nan | 0.9409 | 0.0 | 0.9409 |
273
- | 0.0087 | 480.0 | 4320 | 0.0150 | 0.4658 | 0.9315 | 0.9315 | nan | 0.9315 | 0.0 | 0.9315 |
274
- | 0.0101 | 482.22 | 4340 | 0.0144 | 0.4651 | 0.9302 | 0.9302 | nan | 0.9302 | 0.0 | 0.9302 |
275
- | 0.0168 | 484.44 | 4360 | 0.0144 | 0.4647 | 0.9295 | 0.9295 | nan | 0.9295 | 0.0 | 0.9295 |
276
- | 0.0119 | 486.67 | 4380 | 0.0135 | 0.4620 | 0.9240 | 0.9240 | nan | 0.9240 | 0.0 | 0.9240 |
277
- | 0.0093 | 488.89 | 4400 | 0.0133 | 0.4572 | 0.9144 | 0.9144 | nan | 0.9144 | 0.0 | 0.9144 |
278
- | 0.015 | 491.11 | 4420 | 0.0132 | 0.4580 | 0.9160 | 0.9160 | nan | 0.9160 | 0.0 | 0.9160 |
279
- | 0.0108 | 493.33 | 4440 | 0.0138 | 0.4585 | 0.9171 | 0.9171 | nan | 0.9171 | 0.0 | 0.9171 |
280
- | 0.0147 | 495.56 | 4460 | 0.0140 | 0.4647 | 0.9294 | 0.9294 | nan | 0.9294 | 0.0 | 0.9294 |
281
- | 0.0182 | 497.78 | 4480 | 0.0137 | 0.4599 | 0.9199 | 0.9199 | nan | 0.9199 | 0.0 | 0.9199 |
282
- | 0.0191 | 500.0 | 4500 | 0.0136 | 0.4619 | 0.9238 | 0.9238 | nan | 0.9238 | 0.0 | 0.9238 |
283
 
284
 
285
  ### Framework versions
 
1
  ---
2
  license: other
3
+ base_model: nvidia/mit-b0
4
  tags:
5
  - vision
6
  - image-segmentation
7
  - generated_from_trainer
 
8
  model-index:
9
  - name: segformer-b0-finetuned-lipid-droplets-v2
10
  results: []
 
17
 
18
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the jhaberbe/lipid-droplets-v3 dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.1451
21
+ - Mean Iou: 0.3767
22
+ - Mean Accuracy: 0.7533
23
+ - Overall Accuracy: 0.7533
24
  - Accuracy Unlabeled: nan
25
+ - Accuracy Lipid: 0.7533
26
  - Iou Unlabeled: 0.0
27
+ - Iou Lipid: 0.7533
28
 
29
  ## Model description
30
 
 
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 100
53
 
54
  ### Training results
55
 
56
+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Lipid | Iou Unlabeled | Iou Lipid |
57
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:---------:|
58
+ | 0.5878 | 1.82 | 20 | 0.6215 | 0.2190 | 0.4381 | 0.4381 | nan | 0.4381 | 0.0 | 0.4381 |
59
+ | 0.4506 | 3.64 | 40 | 0.4553 | 0.2542 | 0.5084 | 0.5084 | nan | 0.5084 | 0.0 | 0.5084 |
60
+ | 0.3435 | 5.45 | 60 | 0.3476 | 0.2703 | 0.5405 | 0.5405 | nan | 0.5405 | 0.0 | 0.5405 |
61
+ | 0.2931 | 7.27 | 80 | 0.2191 | 0.2148 | 0.4296 | 0.4296 | nan | 0.4296 | 0.0 | 0.4296 |
62
+ | 0.2361 | 9.09 | 100 | 0.2199 | 0.2829 | 0.5659 | 0.5659 | nan | 0.5659 | 0.0 | 0.5659 |
63
+ | 0.2739 | 10.91 | 120 | 0.2493 | 0.2668 | 0.5336 | 0.5336 | nan | 0.5336 | 0.0 | 0.5336 |
64
+ | 0.1993 | 12.73 | 140 | 0.2123 | 0.3617 | 0.7234 | 0.7234 | nan | 0.7234 | 0.0 | 0.7234 |
65
+ | 0.1226 | 14.55 | 160 | 0.0776 | 0.1070 | 0.2140 | 0.2140 | nan | 0.2140 | 0.0 | 0.2140 |
66
+ | 0.1348 | 16.36 | 180 | 0.1453 | 0.3343 | 0.6686 | 0.6686 | nan | 0.6686 | 0.0 | 0.6686 |
67
+ | 0.0939 | 18.18 | 200 | 0.1973 | 0.3632 | 0.7265 | 0.7265 | nan | 0.7265 | 0.0 | 0.7265 |
68
+ | 0.1426 | 20.0 | 220 | 0.1698 | 0.2628 | 0.5256 | 0.5256 | nan | 0.5256 | 0.0 | 0.5256 |
69
+ | 0.0722 | 21.82 | 240 | 0.1061 | 0.3520 | 0.7040 | 0.7040 | nan | 0.7040 | 0.0 | 0.7040 |
70
+ | 0.0764 | 23.64 | 260 | 0.1653 | 0.2990 | 0.5979 | 0.5979 | nan | 0.5979 | 0.0 | 0.5979 |
71
+ | 0.0551 | 25.45 | 280 | 0.1072 | 0.3103 | 0.6206 | 0.6206 | nan | 0.6206 | 0.0 | 0.6206 |
72
+ | 0.0437 | 27.27 | 300 | 0.2012 | 0.3494 | 0.6988 | 0.6988 | nan | 0.6988 | 0.0 | 0.6988 |
73
+ | 0.0514 | 29.09 | 320 | 0.1825 | 0.3777 | 0.7553 | 0.7553 | nan | 0.7553 | 0.0 | 0.7553 |
74
+ | 0.1095 | 30.91 | 340 | 0.0897 | 0.3392 | 0.6785 | 0.6785 | nan | 0.6785 | 0.0 | 0.6785 |
75
+ | 0.0682 | 32.73 | 360 | 0.1785 | 0.3504 | 0.7008 | 0.7008 | nan | 0.7008 | 0.0 | 0.7008 |
76
+ | 0.0422 | 34.55 | 380 | 0.1167 | 0.3444 | 0.6887 | 0.6887 | nan | 0.6887 | 0.0 | 0.6887 |
77
+ | 0.0538 | 36.36 | 400 | 0.2332 | 0.4529 | 0.9057 | 0.9057 | nan | 0.9057 | 0.0 | 0.9057 |
78
+ | 0.0347 | 38.18 | 420 | 0.1698 | 0.3115 | 0.6231 | 0.6231 | nan | 0.6231 | 0.0 | 0.6231 |
79
+ | 0.0496 | 40.0 | 440 | 0.1201 | 0.3278 | 0.6555 | 0.6555 | nan | 0.6555 | 0.0 | 0.6555 |
80
+ | 0.0681 | 41.82 | 460 | 0.1830 | 0.3916 | 0.7831 | 0.7831 | nan | 0.7831 | 0.0 | 0.7831 |
81
+ | 0.0498 | 43.64 | 480 | 0.1848 | 0.4086 | 0.8172 | 0.8172 | nan | 0.8172 | 0.0 | 0.8172 |
82
+ | 0.0365 | 45.45 | 500 | 0.1234 | 0.3741 | 0.7481 | 0.7481 | nan | 0.7481 | 0.0 | 0.7481 |
83
+ | 0.0258 | 47.27 | 520 | 0.2000 | 0.4300 | 0.8599 | 0.8599 | nan | 0.8599 | 0.0 | 0.8599 |
84
+ | 0.0355 | 49.09 | 540 | 0.1273 | 0.3907 | 0.7814 | 0.7814 | nan | 0.7814 | 0.0 | 0.7814 |
85
+ | 0.0476 | 50.91 | 560 | 0.1827 | 0.4322 | 0.8644 | 0.8644 | nan | 0.8644 | 0.0 | 0.8644 |
86
+ | 0.0472 | 52.73 | 580 | 0.1014 | 0.3420 | 0.6839 | 0.6839 | nan | 0.6839 | 0.0 | 0.6839 |
87
+ | 0.0467 | 54.55 | 600 | 0.1330 | 0.3758 | 0.7516 | 0.7516 | nan | 0.7516 | 0.0 | 0.7516 |
88
+ | 0.0802 | 56.36 | 620 | 0.0698 | 0.3073 | 0.6147 | 0.6147 | nan | 0.6147 | 0.0 | 0.6147 |
89
+ | 0.0558 | 58.18 | 640 | 0.1291 | 0.4088 | 0.8176 | 0.8176 | nan | 0.8176 | 0.0 | 0.8176 |
90
+ | 0.0443 | 60.0 | 660 | 0.1097 | 0.4060 | 0.8119 | 0.8119 | nan | 0.8119 | 0.0 | 0.8119 |
91
+ | 0.0442 | 61.82 | 680 | 0.1112 | 0.3944 | 0.7887 | 0.7887 | nan | 0.7887 | 0.0 | 0.7887 |
92
+ | 0.0422 | 63.64 | 700 | 0.1837 | 0.4288 | 0.8576 | 0.8576 | nan | 0.8576 | 0.0 | 0.8576 |
93
+ | 0.0216 | 65.45 | 720 | 0.1140 | 0.3735 | 0.7470 | 0.7470 | nan | 0.7470 | 0.0 | 0.7470 |
94
+ | 0.0414 | 67.27 | 740 | 0.1017 | 0.3821 | 0.7643 | 0.7643 | nan | 0.7643 | 0.0 | 0.7643 |
95
+ | 0.0336 | 69.09 | 760 | 0.1458 | 0.3685 | 0.7370 | 0.7370 | nan | 0.7370 | 0.0 | 0.7370 |
96
+ | 0.0575 | 70.91 | 780 | 0.1392 | 0.3425 | 0.6851 | 0.6851 | nan | 0.6851 | 0.0 | 0.6851 |
97
+ | 0.0324 | 72.73 | 800 | 0.1162 | 0.3689 | 0.7377 | 0.7377 | nan | 0.7377 | 0.0 | 0.7377 |
98
+ | 0.0336 | 74.55 | 820 | 0.1366 | 0.4143 | 0.8287 | 0.8287 | nan | 0.8287 | 0.0 | 0.8287 |
99
+ | 0.0889 | 76.36 | 840 | 0.1604 | 0.3726 | 0.7452 | 0.7452 | nan | 0.7452 | 0.0 | 0.7452 |
100
+ | 0.0438 | 78.18 | 860 | 0.1528 | 0.3948 | 0.7895 | 0.7895 | nan | 0.7895 | 0.0 | 0.7895 |
101
+ | 0.0194 | 80.0 | 880 | 0.1360 | 0.3335 | 0.6671 | 0.6671 | nan | 0.6671 | 0.0 | 0.6671 |
102
+ | 0.0311 | 81.82 | 900 | 0.1832 | 0.4278 | 0.8555 | 0.8555 | nan | 0.8555 | 0.0 | 0.8555 |
103
+ | 0.0478 | 83.64 | 920 | 0.0718 | 0.2656 | 0.5312 | 0.5312 | nan | 0.5312 | 0.0 | 0.5312 |
104
+ | 0.0363 | 85.45 | 940 | 0.1281 | 0.3630 | 0.7259 | 0.7259 | nan | 0.7259 | 0.0 | 0.7259 |
105
+ | 0.0354 | 87.27 | 960 | 0.0986 | 0.3891 | 0.7782 | 0.7782 | nan | 0.7782 | 0.0 | 0.7782 |
106
+ | 0.0195 | 89.09 | 980 | 0.1582 | 0.4123 | 0.8247 | 0.8247 | nan | 0.8247 | 0.0 | 0.8247 |
107
+ | 0.0432 | 90.91 | 1000 | 0.1086 | 0.3217 | 0.6433 | 0.6433 | nan | 0.6433 | 0.0 | 0.6433 |
108
+ | 0.0288 | 92.73 | 1020 | 0.1669 | 0.4089 | 0.8179 | 0.8179 | nan | 0.8179 | 0.0 | 0.8179 |
109
+ | 0.0326 | 94.55 | 1040 | 0.1335 | 0.3908 | 0.7816 | 0.7816 | nan | 0.7816 | 0.0 | 0.7816 |
110
+ | 0.0384 | 96.36 | 1060 | 0.1415 | 0.3947 | 0.7895 | 0.7895 | nan | 0.7895 | 0.0 | 0.7895 |
111
+ | 0.0399 | 98.18 | 1080 | 0.1784 | 0.4204 | 0.8408 | 0.8408 | nan | 0.8408 | 0.0 | 0.8408 |
112
+ | 0.0214 | 100.0 | 1100 | 0.1451 | 0.3767 | 0.7533 | 0.7533 | nan | 0.7533 | 0.0 | 0.7533 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
113
 
114
 
115
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3b52033d28663891b483931ac93b7e6af7b37c2a08e469ff1047cf41326eb64f
3
  size 14884776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30eb4a030a8461b9633279eb6b7b41513293e07c33794e74bc3e2fd1a5ec3b72
3
  size 14884776
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:29958d8ca6254aaed5536f55b6b694c688dc6c37155a8a86d254ca59654d2d52
3
  size 4792
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43f1ce911b5ba054f71b6319725fcbb176a6e985e422fcf2e5a16f60f96bce38
3
  size 4792