End of training
Browse files- README.md +3 -1
- all_results.json +31 -273
- test_results.json +26 -268
- train_results.json +5 -5
- trainer_state.json +0 -0
README.md
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license: apache-2.0
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base_model: facebook/detr-resnet-50
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tags:
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- generated_from_trainer
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model-index:
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- name: detr-finetuned-cppe-5-10k-steps
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# detr-finetuned-cppe-5-10k-steps
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on
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It achieves the following results on the evaluation set:
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- Loss: 1.2634
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- Map: 0.3099
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license: apache-2.0
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base_model: facebook/detr-resnet-50
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tags:
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- object-detection
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- vision
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- generated_from_trainer
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model-index:
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- name: detr-finetuned-cppe-5-10k-steps
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# detr-finetuned-cppe-5-10k-steps
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cppe-5 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2634
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- Map: 0.3099
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all_results.json
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| 275 |
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|
| 276 |
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|
|
| 1 |
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| 2 |
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| 3 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 26 |
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| 28 |
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| 33 |
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|
| 34 |
}
|
test_results.json
CHANGED
|
@@ -1,271 +1,29 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
-
"test_loss":
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
-
"
|
| 8 |
-
"
|
| 9 |
-
"
|
| 10 |
-
"
|
| 11 |
-
"
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
"
|
| 18 |
-
"
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
-
"
|
| 22 |
-
"
|
| 23 |
-
"
|
| 24 |
-
"
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
-
"
|
| 28 |
-
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|
| 29 |
-
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
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|
| 70 |
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|
| 71 |
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| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 124 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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| 174 |
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|
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| 179 |
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|
| 180 |
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| 181 |
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| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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| 186 |
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|
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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|
| 192 |
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|
| 193 |
-
"test_mar_100_grey commercial aircraft": 0.0,
|
| 194 |
-
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|
| 195 |
-
"test_mar_100_grey fighter jet": 0.0,
|
| 196 |
-
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|
| 197 |
-
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|
| 198 |
-
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|
| 199 |
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|
| 200 |
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"test_mar_100_grey, red, and blue commercial aircraft": 0.0511,
|
| 201 |
-
"test_mar_100_orange and black fighter jet": 0.4769,
|
| 202 |
-
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|
| 203 |
-
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|
| 204 |
-
"test_mar_100_red and grey missile": 0.0,
|
| 205 |
-
"test_mar_100_red and white fighter jet": 0.0,
|
| 206 |
-
"test_mar_100_red and white fighter plane": 0.0,
|
| 207 |
-
"test_mar_100_red and white helicopter": 0.0,
|
| 208 |
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|
| 209 |
-
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|
| 210 |
-
"test_mar_100_red fighter jet": 0.0556,
|
| 211 |
-
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|
| 212 |
-
"test_mar_100_red helicopter": 0.0814,
|
| 213 |
-
"test_mar_100_red light aircraft": 0.14,
|
| 214 |
-
"test_mar_100_red, white, and blue fighter jet": 0.046,
|
| 215 |
-
"test_mar_100_red, white, and blue light aircraft": 0.5037,
|
| 216 |
-
"test_mar_100_silver and blue fighter plane": 0.0,
|
| 217 |
-
"test_mar_100_silver fighter plane": 0.0,
|
| 218 |
-
"test_mar_100_white and black cargo aircraft": 0.0,
|
| 219 |
-
"test_mar_100_white and black drone": 0.2778,
|
| 220 |
-
"test_mar_100_white and black fighter jet": 0.1468,
|
| 221 |
-
"test_mar_100_white and black fighter plane": 0.0574,
|
| 222 |
-
"test_mar_100_white and black helicopter": 0.0135,
|
| 223 |
-
"test_mar_100_white and black light aircraft": 0.0414,
|
| 224 |
-
"test_mar_100_white and blue cargo aircraft": 0.2659,
|
| 225 |
-
"test_mar_100_white and blue commercial aircraft": 0.0,
|
| 226 |
-
"test_mar_100_white and blue fighter jet": 0.0962,
|
| 227 |
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|
| 228 |
-
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|
| 229 |
-
"test_mar_100_white and blue light aircraft": 0.0,
|
| 230 |
-
"test_mar_100_white and grey helicopter": 0.034,
|
| 231 |
-
"test_mar_100_white and orange commercial aircraft": 0.0,
|
| 232 |
-
"test_mar_100_white and orange light aircraft": 0.0,
|
| 233 |
-
"test_mar_100_white and red commercial aircraft": 0.0,
|
| 234 |
-
"test_mar_100_white and red fighter jet": 0.0,
|
| 235 |
-
"test_mar_100_white and red fighter plane": 0.0,
|
| 236 |
-
"test_mar_100_white and red helicopter": 0.0,
|
| 237 |
-
"test_mar_100_white and red light aircraft": 0.0,
|
| 238 |
-
"test_mar_100_white and red missile": 0.0,
|
| 239 |
-
"test_mar_100_white and yellow commercial aircraft": 0.4019,
|
| 240 |
-
"test_mar_100_white cargo aircraft": 0.0119,
|
| 241 |
-
"test_mar_100_white commercial aircraft": 0.0,
|
| 242 |
-
"test_mar_100_white drone": 0.0,
|
| 243 |
-
"test_mar_100_white fighter jet": 0.0169,
|
| 244 |
-
"test_mar_100_white fighter plane": 0.0933,
|
| 245 |
-
"test_mar_100_white helicopter": 0.0,
|
| 246 |
-
"test_mar_100_white light aircraft": 0.0107,
|
| 247 |
-
"test_mar_100_white missile": 0.1364,
|
| 248 |
-
"test_mar_100_white, black, and grey missile": 0.6191,
|
| 249 |
-
"test_mar_100_white, black, and red drone": 0.3333,
|
| 250 |
-
"test_mar_100_white, blue, and red commercial aircraft": 0.0,
|
| 251 |
-
"test_mar_100_white, red, and blue commercial aircraft": 0.0,
|
| 252 |
-
"test_mar_100_white, red, and green fighter plane": 0.4644,
|
| 253 |
-
"test_mar_100_yellow and black fighter plane": 0.4426,
|
| 254 |
-
"test_mar_100_yellow and green helicopter": 0.0137,
|
| 255 |
-
"test_mar_100_yellow and red light aircraft": 0.0,
|
| 256 |
-
"test_mar_100_yellow commercial aircraft": 0.0,
|
| 257 |
-
"test_mar_100_yellow fighter jet": 0.117,
|
| 258 |
-
"test_mar_100_yellow fighter plane": 0.0077,
|
| 259 |
-
"test_mar_100_yellow helicopter": 0.0,
|
| 260 |
-
"test_mar_100_yellow light aircraft": 0.1702,
|
| 261 |
-
"test_mar_100_yellow missile": 0.0,
|
| 262 |
-
"test_mar_100_yellow, black, and red helicopter": 0.0,
|
| 263 |
-
"test_mar_100_yellow, red, and blue fighter plane": 0.025,
|
| 264 |
-
"test_mar_100_yellow, red, and grey helicopter": 0.0,
|
| 265 |
-
"test_mar_large": 0.0,
|
| 266 |
-
"test_mar_medium": 0.0671,
|
| 267 |
-
"test_mar_small": 0.0445,
|
| 268 |
-
"test_runtime": 42.9076,
|
| 269 |
-
"test_samples_per_second": 23.795,
|
| 270 |
-
"test_steps_per_second": 2.983
|
| 271 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
+
"test_loss": 0.9151162505149841,
|
| 4 |
+
"test_map": 0.4646,
|
| 5 |
+
"test_map_50": 0.82,
|
| 6 |
+
"test_map_75": 0.4439,
|
| 7 |
+
"test_map_Coverall": 0.5947,
|
| 8 |
+
"test_map_Face_Shield": 0.5346,
|
| 9 |
+
"test_map_Gloves": 0.4093,
|
| 10 |
+
"test_map_Goggles": 0.333,
|
| 11 |
+
"test_map_Mask": 0.4511,
|
| 12 |
+
"test_map_large": 0.646,
|
| 13 |
+
"test_map_medium": 0.401,
|
| 14 |
+
"test_map_small": 0.2325,
|
| 15 |
+
"test_mar_1": 0.3328,
|
| 16 |
+
"test_mar_10": 0.6106,
|
| 17 |
+
"test_mar_100": 0.6167,
|
| 18 |
+
"test_mar_100_Coverall": 0.7949,
|
| 19 |
+
"test_mar_100_Face_Shield": 0.7176,
|
| 20 |
+
"test_mar_100_Gloves": 0.5034,
|
| 21 |
+
"test_mar_100_Goggles": 0.5345,
|
| 22 |
+
"test_mar_100_Mask": 0.5333,
|
| 23 |
+
"test_mar_large": 0.7667,
|
| 24 |
+
"test_mar_medium": 0.5404,
|
| 25 |
+
"test_mar_small": 0.35,
|
| 26 |
+
"test_runtime": 2.0322,
|
| 27 |
+
"test_samples_per_second": 14.27,
|
| 28 |
+
"test_steps_per_second": 1.968
|
|
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| 29 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
+
"total_flos": 2.28455679528e+19,
|
| 4 |
+
"train_loss": 1.0926159782053155,
|
| 5 |
+
"train_runtime": 5552.9505,
|
| 6 |
+
"train_samples_per_second": 15.307,
|
| 7 |
+
"train_steps_per_second": 1.927
|
| 8 |
}
|
trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|