End of training
Browse files
README.md
CHANGED
@@ -17,19 +17,19 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Map: 0.
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- Map 50: 0.
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- Map 75: 0.
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- Map Small: -1.0
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- Map Medium: 0.
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- Map Large: 0.
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- Mar 1: 0.
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- Mar 10: 0.
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- Mar 100: 0.
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- Mar Small: -1.0
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- Mar Medium: 0.
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- Mar Large: 0.
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- Map Per Class: -1.0
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- Mar 100 Per Class: -1.0
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- Classes: 0
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs:
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### Training results
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| 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 Per Class | Mar 100 Per Class | Classes |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------------:|:-----------------:|:-------:|
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| 0.3725 | 51.0 | 255 | 0.4523 | 0.3207 | 0.3596 | 0.3596 | -1.0 | 0.1069 | 0.3886 | 0.0877 | 0.4151 | 0.4151 | -1.0 | 0.1059 | 0.5089 | -1.0 | -1.0 | 0 |
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| 0.4272 | 52.0 | 260 | 0.4635 | 0.297 | 0.3347 | 0.3347 | -1.0 | 0.0535 | 0.3727 | 0.074 | 0.3863 | 0.3863 | -1.0 | 0.0529 | 0.4875 | -1.0 | -1.0 | 0 |
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| 0.2914 | 53.0 | 265 | 0.4364 | 0.3764 | 0.4196 | 0.4196 | -1.0 | 0.1069 | 0.4578 | 0.1014 | 0.4822 | 0.4822 | -1.0 | 0.1059 | 0.5964 | -1.0 | -1.0 | 0 |
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| 0.5253 | 54.0 | 270 | 0.4273 | 0.3574 | 0.4022 | 0.4022 | -1.0 | 0.1099 | 0.4361 | 0.1014 | 0.4671 | 0.4671 | -1.0 | 0.1118 | 0.575 | -1.0 | -1.0 | 0 |
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| 0.2935 | 55.0 | 275 | 0.4400 | 0.3386 | 0.3737 | 0.3737 | -1.0 | 0.0594 | 0.4276 | 0.0904 | 0.4479 | 0.4479 | -1.0 | 0.0588 | 0.5661 | -1.0 | -1.0 | 0 |
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| 0.4339 | 56.0 | 280 | 0.4332 | 0.3445 | 0.3863 | 0.3863 | -1.0 | 0.101 | 0.421 | 0.0877 | 0.4548 | 0.4548 | -1.0 | 0.1 | 0.5625 | -1.0 | -1.0 | 0 |
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| 0.2827 | 57.0 | 285 | 0.4345 | 0.3334 | 0.3704 | 0.3704 | -1.0 | 0.0535 | 0.4219 | 0.0753 | 0.4438 | 0.4438 | -1.0 | 0.0529 | 0.5625 | -1.0 | -1.0 | 0 |
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| 0.2361 | 58.0 | 290 | 0.4395 | 0.3224 | 0.3645 | 0.3645 | -1.0 | 0.0535 | 0.4031 | 0.0726 | 0.426 | 0.426 | -1.0 | 0.0529 | 0.5393 | -1.0 | -1.0 | 0 |
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| 0.2094 | 59.0 | 295 | 0.4442 | 0.3428 | 0.3917 | 0.3917 | -1.0 | 0.101 | 0.416 | 0.0863 | 0.4507 | 0.4507 | -1.0 | 0.1 | 0.5571 | -1.0 | -1.0 | 0 |
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| 0.2672 | 60.0 | 300 | 0.4720 | 0.3864 | 0.4388 | 0.4388 | -1.0 | 0.101 | 0.4759 | 0.0986 | 0.5 | 0.5 | -1.0 | 0.1 | 0.6214 | -1.0 | -1.0 | 0 |
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| 0.2224 | 61.0 | 305 | 0.4652 | 0.3764 | 0.4296 | 0.4296 | -1.0 | 0.0535 | 0.4704 | 0.0986 | 0.4849 | 0.4849 | -1.0 | 0.0529 | 0.6161 | -1.0 | -1.0 | 0 |
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| 0.3291 | 62.0 | 310 | 0.5074 | 0.3513 | 0.3917 | 0.3917 | -1.0 | 0.0 | 0.4561 | 0.0753 | 0.4575 | 0.4575 | -1.0 | 0.0 | 0.5964 | -1.0 | -1.0 | 0 |
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| 0.2441 | 63.0 | 315 | 0.4944 | 0.3862 | 0.431 | 0.431 | -1.0 | 0.095 | 0.481 | 0.0986 | 0.4918 | 0.4918 | -1.0 | 0.0941 | 0.6125 | -1.0 | -1.0 | 0 |
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| 0.3779 | 64.0 | 320 | 0.4895 | 0.4041 | 0.4673 | 0.456 | -1.0 | 0.1525 | 0.4835 | 0.0986 | 0.5137 | 0.5137 | -1.0 | 0.1529 | 0.6232 | -1.0 | -1.0 | 0 |
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| 0.3549 | 65.0 | 325 | 0.4630 | 0.3711 | 0.4196 | 0.4196 | -1.0 | 0.0535 | 0.4661 | 0.0986 | 0.4781 | 0.4781 | -1.0 | 0.0529 | 0.6071 | -1.0 | -1.0 | 0 |
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| 0.3356 | 66.0 | 330 | 0.4723 | 0.3293 | 0.3716 | 0.3716 | -1.0 | 0.0535 | 0.4131 | 0.0877 | 0.4384 | 0.4384 | -1.0 | 0.0529 | 0.5554 | -1.0 | -1.0 | 0 |
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| 0.2386 | 67.0 | 335 | 0.4537 | 0.3509 | 0.3969 | 0.3969 | -1.0 | 0.1545 | 0.4125 | 0.0863 | 0.4644 | 0.4644 | -1.0 | 0.1529 | 0.5589 | -1.0 | -1.0 | 0 |
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| 0.2134 | 68.0 | 340 | 0.4504 | 0.3931 | 0.4592 | 0.4411 | -1.0 | 0.202 | 0.4549 | 0.0849 | 0.5137 | 0.5137 | -1.0 | 0.2 | 0.6089 | -1.0 | -1.0 | 0 |
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| 0.2782 | 69.0 | 345 | 0.4503 | 0.4011 | 0.4692 | 0.451 | -1.0 | 0.202 | 0.4685 | 0.0863 | 0.5247 | 0.5247 | -1.0 | 0.2 | 0.6232 | -1.0 | -1.0 | 0 |
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| 0.1963 | 70.0 | 350 | 0.4560 | 0.3834 | 0.4492 | 0.4235 | -1.0 | 0.101 | 0.4703 | 0.0973 | 0.5027 | 0.5027 | -1.0 | 0.1 | 0.625 | -1.0 | -1.0 | 0 |
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| 0.2263 | 71.0 | 355 | 0.4415 | 0.3745 | 0.4314 | 0.4141 | -1.0 | 0.1069 | 0.4596 | 0.0973 | 0.4945 | 0.4945 | -1.0 | 0.1059 | 0.6125 | -1.0 | -1.0 | 0 |
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| 0.2589 | 72.0 | 360 | 0.4332 | 0.384 | 0.4411 | 0.4214 | -1.0 | 0.101 | 0.4715 | 0.0973 | 0.5096 | 0.5096 | -1.0 | 0.1 | 0.6339 | -1.0 | -1.0 | 0 |
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| 0.2626 | 73.0 | 365 | 0.4322 | 0.3824 | 0.4411 | 0.4204 | -1.0 | 0.1485 | 0.4605 | 0.0877 | 0.5082 | 0.5082 | -1.0 | 0.1471 | 0.6179 | -1.0 | -1.0 | 0 |
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| 0.2126 | 74.0 | 370 | 0.4384 | 0.4111 | 0.4788 | 0.4551 | -1.0 | 0.1485 | 0.4968 | 0.1 | 0.5411 | 0.5411 | -1.0 | 0.1471 | 0.6607 | -1.0 | -1.0 | 0 |
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| 0.2692 | 75.0 | 375 | 0.4532 | 0.412 | 0.4788 | 0.4531 | -1.0 | 0.1545 | 0.4973 | 0.1 | 0.5452 | 0.5452 | -1.0 | 0.1529 | 0.6643 | -1.0 | -1.0 | 0 |
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| 0.1972 | 76.0 | 380 | 0.4609 | 0.4093 | 0.461 | 0.461 | -1.0 | 0.1545 | 0.4922 | 0.1 | 0.5397 | 0.5397 | -1.0 | 0.1529 | 0.6571 | -1.0 | -1.0 | 0 |
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| 0.1734 | 77.0 | 385 | 0.4555 | 0.4193 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5019 | 0.0986 | 0.5466 | 0.5466 | -1.0 | 0.1529 | 0.6661 | -1.0 | -1.0 | 0 |
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| 0.2255 | 78.0 | 390 | 0.4484 | 0.4081 | 0.461 | 0.461 | -1.0 | 0.1525 | 0.4907 | 0.1 | 0.537 | 0.537 | -1.0 | 0.1529 | 0.6536 | -1.0 | -1.0 | 0 |
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| 0.1991 | 79.0 | 395 | 0.4491 | 0.4254 | 0.4788 | 0.4788 | -1.0 | 0.1525 | 0.5095 | 0.1014 | 0.5521 | 0.5521 | -1.0 | 0.1529 | 0.6732 | -1.0 | -1.0 | 0 |
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| 0.4838 | 80.0 | 400 | 0.4487 | 0.4333 | 0.4865 | 0.4865 | -1.0 | 0.1545 | 0.5245 | 0.1014 | 0.5616 | 0.5616 | -1.0 | 0.1529 | 0.6857 | -1.0 | -1.0 | 0 |
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| 0.2401 | 81.0 | 405 | 0.4509 | 0.4489 | 0.5067 | 0.5067 | -1.0 | 0.1545 | 0.5354 | 0.1 | 0.574 | 0.574 | -1.0 | 0.1529 | 0.7018 | -1.0 | -1.0 | 0 |
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| 0.2436 | 82.0 | 410 | 0.4523 | 0.4456 | 0.5067 | 0.5067 | -1.0 | 0.1545 | 0.5313 | 0.0986 | 0.5726 | 0.5726 | -1.0 | 0.1529 | 0.7 | -1.0 | -1.0 | 0 |
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| 0.1835 | 83.0 | 415 | 0.4564 | 0.4455 | 0.5067 | 0.5067 | -1.0 | 0.1545 | 0.5308 | 0.0986 | 0.5726 | 0.5726 | -1.0 | 0.1529 | 0.7 | -1.0 | -1.0 | 0 |
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| 0.3013 | 84.0 | 420 | 0.4563 | 0.4313 | 0.4888 | 0.4888 | -1.0 | 0.1545 | 0.5217 | 0.0986 | 0.5616 | 0.5616 | -1.0 | 0.1529 | 0.6857 | -1.0 | -1.0 | 0 |
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| 0.237 | 85.0 | 425 | 0.4562 | 0.4264 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5111 | 0.0877 | 0.5534 | 0.5534 | -1.0 | 0.1529 | 0.675 | -1.0 | -1.0 | 0 |
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| 0.1942 | 86.0 | 430 | 0.4538 | 0.425 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5094 | 0.089 | 0.5534 | 0.5534 | -1.0 | 0.1529 | 0.675 | -1.0 | -1.0 | 0 |
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| 0.2318 | 87.0 | 435 | 0.4523 | 0.4254 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5099 | 0.0877 | 0.5548 | 0.5548 | -1.0 | 0.1529 | 0.6768 | -1.0 | -1.0 | 0 |
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| 0.166 | 88.0 | 440 | 0.4489 | 0.4248 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5094 | 0.0877 | 0.5534 | 0.5534 | -1.0 | 0.1529 | 0.675 | -1.0 | -1.0 | 0 |
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| 0.1754 | 89.0 | 445 | 0.4471 | 0.4246 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5088 | 0.0877 | 0.5507 | 0.5507 | -1.0 | 0.1529 | 0.6714 | -1.0 | -1.0 | 0 |
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| 0.3571 | 90.0 | 450 | 0.4457 | 0.4219 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5047 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.2101 | 91.0 | 455 | 0.4450 | 0.4219 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5047 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.2333 | 92.0 | 460 | 0.4446 | 0.4219 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5047 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.1948 | 93.0 | 465 | 0.4446 | 0.422 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5048 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.1737 | 94.0 | 470 | 0.4443 | 0.422 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5048 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.1788 | 95.0 | 475 | 0.4442 | 0.422 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5048 | 0.0863 | 0.5479 | 0.5479 | -1.0 | 0.1529 | 0.6679 | -1.0 | -1.0 | 0 |
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| 0.2001 | 96.0 | 480 | 0.4440 | 0.4241 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5081 | 0.0877 | 0.5493 | 0.5493 | -1.0 | 0.1529 | 0.6696 | -1.0 | -1.0 | 0 |
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| 0.3149 | 97.0 | 485 | 0.4439 | 0.4241 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5081 | 0.0877 | 0.5493 | 0.5493 | -1.0 | 0.1529 | 0.6696 | -1.0 | -1.0 | 0 |
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| 0.2197 | 98.0 | 490 | 0.4439 | 0.4241 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5081 | 0.0877 | 0.5493 | 0.5493 | -1.0 | 0.1529 | 0.6696 | -1.0 | -1.0 | 0 |
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| 0.1831 | 99.0 | 495 | 0.4440 | 0.4241 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.5081 | 0.0877 | 0.5493 | 0.5493 | -1.0 | 0.1529 | 0.6696 | -1.0 | -1.0 | 0 |
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| 0.2698 | 100.0 | 500 | 0.4440 | 0.4247 | 0.4788 | 0.4788 | -1.0 | 0.1545 | 0.509 | 0.0877 | 0.5507 | 0.5507 | -1.0 | 0.1529 | 0.6714 | -1.0 | -1.0 | 0 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3578
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- Map: 0.7134
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- Map 50: 0.8181
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- Map 75: 0.8181
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- Map Small: -1.0
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- Map Medium: 0.7864
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- Map Large: 0.7101
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- Mar 1: 0.1236
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- Mar 10: 0.7964
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- Mar 100: 0.825
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- Mar Small: -1.0
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- Mar Medium: 0.8
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- Mar Large: 0.8302
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- Map Per Class: -1.0
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- Mar 100 Per Class: -1.0
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- Classes: 0
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 50
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### Training results
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| 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 Per Class | Mar 100 Per Class | Classes |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------------:|:-----------------:|:-------:|
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| 2.1209 | 1.0 | 10 | 2.1209 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 1.4805 | 2.0 | 20 | 1.5062 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 1.205 | 3.0 | 30 | 1.3151 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 1.2767 | 4.0 | 40 | 1.1969 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 1.095 | 5.0 | 50 | 1.0561 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.8968 | 6.0 | 60 | 0.9283 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.8153 | 7.0 | 70 | 0.8459 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.7445 | 8.0 | 80 | 0.7019 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.5769 | 9.0 | 90 | 0.6067 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.5487 | 10.0 | 100 | 0.5308 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | -1.0 | -1.0 | 0 |
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| 0.4492 | 11.0 | 110 | 0.5069 | 0.0089 | 0.0099 | 0.0099 | -1.0 | 0.0 | 0.0089 | 0.0064 | 0.0064 | 0.0064 | -1.0 | 0.0 | 0.0078 | -1.0 | -1.0 | 0 |
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77 |
+
| 0.3912 | 12.0 | 120 | 0.5000 | 0.0385 | 0.0438 | 0.0438 | -1.0 | 0.0 | 0.0461 | 0.0314 | 0.0386 | 0.0386 | -1.0 | 0.0 | 0.0466 | -1.0 | -1.0 | 0 |
|
78 |
+
| 0.3875 | 13.0 | 130 | 0.4488 | 0.0901 | 0.1036 | 0.1036 | -1.0 | 0.0 | 0.1072 | 0.0571 | 0.0886 | 0.0886 | -1.0 | 0.0 | 0.1069 | -1.0 | -1.0 | 0 |
|
79 |
+
| 0.4356 | 14.0 | 140 | 0.4592 | 0.3255 | 0.3789 | 0.3789 | -1.0 | 0.1382 | 0.3656 | 0.1007 | 0.3657 | 0.3657 | -1.0 | 0.1417 | 0.4121 | -1.0 | -1.0 | 0 |
|
80 |
+
| 0.3536 | 15.0 | 150 | 0.4293 | 0.3127 | 0.3673 | 0.3584 | -1.0 | 0.1914 | 0.3399 | 0.1064 | 0.3629 | 0.3629 | -1.0 | 0.1958 | 0.3974 | -1.0 | -1.0 | 0 |
|
81 |
+
| 0.3617 | 16.0 | 160 | 0.4128 | 0.4625 | 0.5397 | 0.5288 | -1.0 | 0.3614 | 0.4897 | 0.1164 | 0.5329 | 0.5329 | -1.0 | 0.3625 | 0.5681 | -1.0 | -1.0 | 0 |
|
82 |
+
| 0.392 | 17.0 | 170 | 0.4258 | 0.4683 | 0.5332 | 0.5332 | -1.0 | 0.3911 | 0.4868 | 0.1179 | 0.5486 | 0.5486 | -1.0 | 0.4 | 0.5793 | -1.0 | -1.0 | 0 |
|
83 |
+
| 0.3694 | 18.0 | 180 | 0.4563 | 0.4006 | 0.4614 | 0.4614 | -1.0 | 0.3313 | 0.4267 | 0.1157 | 0.4714 | 0.4714 | -1.0 | 0.3333 | 0.5 | -1.0 | -1.0 | 0 |
|
84 |
+
| 0.3569 | 19.0 | 190 | 0.4160 | 0.4912 | 0.5672 | 0.5672 | -1.0 | 0.386 | 0.5185 | 0.1157 | 0.58 | 0.58 | -1.0 | 0.4 | 0.6172 | -1.0 | -1.0 | 0 |
|
85 |
+
| 0.3839 | 20.0 | 200 | 0.4665 | 0.5324 | 0.6311 | 0.6212 | -1.0 | 0.4719 | 0.5561 | 0.115 | 0.6114 | 0.6114 | -1.0 | 0.475 | 0.6397 | -1.0 | -1.0 | 0 |
|
86 |
+
| 0.3123 | 21.0 | 210 | 0.4144 | 0.4808 | 0.5519 | 0.5519 | -1.0 | 0.3279 | 0.5235 | 0.1164 | 0.5643 | 0.5643 | -1.0 | 0.3333 | 0.6121 | -1.0 | -1.0 | 0 |
|
87 |
+
| 0.2824 | 22.0 | 220 | 0.3918 | 0.5587 | 0.6403 | 0.6403 | -1.0 | 0.468 | 0.5874 | 0.1186 | 0.6557 | 0.6557 | -1.0 | 0.4792 | 0.6922 | -1.0 | -1.0 | 0 |
|
88 |
+
| 0.2545 | 23.0 | 230 | 0.3530 | 0.5577 | 0.6299 | 0.6299 | -1.0 | 0.448 | 0.5846 | 0.1179 | 0.645 | 0.6514 | -1.0 | 0.4542 | 0.6922 | -1.0 | -1.0 | 0 |
|
89 |
+
| 0.2716 | 24.0 | 240 | 0.3540 | 0.6501 | 0.7455 | 0.7369 | -1.0 | 0.6292 | 0.6653 | 0.1236 | 0.7486 | 0.77 | -1.0 | 0.6375 | 0.7974 | -1.0 | -1.0 | 0 |
|
90 |
+
| 0.2631 | 25.0 | 250 | 0.3608 | 0.5918 | 0.6733 | 0.6733 | -1.0 | 0.5879 | 0.6012 | 0.1193 | 0.6936 | 0.6936 | -1.0 | 0.6 | 0.7129 | -1.0 | -1.0 | 0 |
|
91 |
+
| 0.2628 | 26.0 | 260 | 0.3607 | 0.6089 | 0.6904 | 0.6904 | -1.0 | 0.6516 | 0.608 | 0.1193 | 0.6943 | 0.7114 | -1.0 | 0.6583 | 0.7224 | -1.0 | -1.0 | 0 |
|
92 |
+
| 0.2653 | 27.0 | 270 | 0.3692 | 0.6648 | 0.7623 | 0.7538 | -1.0 | 0.7795 | 0.6512 | 0.1171 | 0.75 | 0.7771 | -1.0 | 0.8042 | 0.7716 | -1.0 | -1.0 | 0 |
|
93 |
+
| 0.2272 | 28.0 | 280 | 0.3657 | 0.5998 | 0.6814 | 0.6814 | -1.0 | 0.614 | 0.602 | 0.12 | 0.695 | 0.7007 | -1.0 | 0.6292 | 0.7155 | -1.0 | -1.0 | 0 |
|
94 |
+
| 0.3795 | 29.0 | 290 | 0.3728 | 0.6409 | 0.7284 | 0.7277 | -1.0 | 0.6901 | 0.6407 | 0.1264 | 0.7364 | 0.7486 | -1.0 | 0.7042 | 0.7578 | -1.0 | -1.0 | 0 |
|
95 |
+
| 0.2568 | 30.0 | 300 | 0.3724 | 0.6933 | 0.7956 | 0.7854 | -1.0 | 0.7381 | 0.6926 | 0.1236 | 0.7821 | 0.8043 | -1.0 | 0.7542 | 0.8147 | -1.0 | -1.0 | 0 |
|
96 |
+
| 0.2632 | 31.0 | 310 | 0.3741 | 0.6626 | 0.7614 | 0.7522 | -1.0 | 0.7747 | 0.651 | 0.1243 | 0.7479 | 0.7671 | -1.0 | 0.7958 | 0.7612 | -1.0 | -1.0 | 0 |
|
97 |
+
| 0.3576 | 32.0 | 320 | 0.3649 | 0.6734 | 0.7746 | 0.7746 | -1.0 | 0.7503 | 0.6686 | 0.1236 | 0.7586 | 0.7757 | -1.0 | 0.7667 | 0.7776 | -1.0 | -1.0 | 0 |
|
98 |
+
| 0.2254 | 33.0 | 330 | 0.3683 | 0.6991 | 0.8085 | 0.8084 | -1.0 | 0.7949 | 0.691 | 0.1243 | 0.7929 | 0.8121 | -1.0 | 0.8125 | 0.8121 | -1.0 | -1.0 | 0 |
|
99 |
+
| 0.2495 | 34.0 | 340 | 0.3459 | 0.6975 | 0.811 | 0.8021 | -1.0 | 0.7652 | 0.6919 | 0.1257 | 0.7793 | 0.805 | -1.0 | 0.7833 | 0.8095 | -1.0 | -1.0 | 0 |
|
100 |
+
| 0.2051 | 35.0 | 350 | 0.3508 | 0.6903 | 0.7939 | 0.7845 | -1.0 | 0.797 | 0.6835 | 0.1243 | 0.7693 | 0.7943 | -1.0 | 0.8167 | 0.7897 | -1.0 | -1.0 | 0 |
|
101 |
+
| 0.2159 | 36.0 | 360 | 0.3510 | 0.693 | 0.7971 | 0.7971 | -1.0 | 0.7619 | 0.6898 | 0.1214 | 0.7807 | 0.7986 | -1.0 | 0.7792 | 0.8026 | -1.0 | -1.0 | 0 |
|
102 |
+
| 0.2234 | 37.0 | 370 | 0.3512 | 0.7033 | 0.8062 | 0.8062 | -1.0 | 0.7588 | 0.7014 | 0.1236 | 0.78 | 0.8036 | -1.0 | 0.7708 | 0.8103 | -1.0 | -1.0 | 0 |
|
103 |
+
| 0.2732 | 38.0 | 380 | 0.3603 | 0.6916 | 0.7917 | 0.7917 | -1.0 | 0.6964 | 0.7019 | 0.1236 | 0.7857 | 0.7993 | -1.0 | 0.7083 | 0.8181 | -1.0 | -1.0 | 0 |
|
104 |
+
| 0.2397 | 39.0 | 390 | 0.3633 | 0.7141 | 0.8125 | 0.804 | -1.0 | 0.7074 | 0.7255 | 0.1264 | 0.7971 | 0.8186 | -1.0 | 0.7167 | 0.8397 | -1.0 | -1.0 | 0 |
|
105 |
+
| 0.2534 | 40.0 | 400 | 0.3574 | 0.7115 | 0.8104 | 0.8104 | -1.0 | 0.705 | 0.722 | 0.1236 | 0.7979 | 0.8179 | -1.0 | 0.7125 | 0.8397 | -1.0 | -1.0 | 0 |
|
106 |
+
| 0.2168 | 41.0 | 410 | 0.3547 | 0.7106 | 0.8087 | 0.8087 | -1.0 | 0.7594 | 0.7141 | 0.1257 | 0.8007 | 0.8229 | -1.0 | 0.7708 | 0.8336 | -1.0 | -1.0 | 0 |
|
107 |
+
| 0.2237 | 42.0 | 420 | 0.3590 | 0.7055 | 0.8105 | 0.8105 | -1.0 | 0.759 | 0.7089 | 0.1243 | 0.7964 | 0.8186 | -1.0 | 0.7708 | 0.8284 | -1.0 | -1.0 | 0 |
|
108 |
+
| 0.2152 | 43.0 | 430 | 0.3582 | 0.7132 | 0.82 | 0.82 | -1.0 | 0.7865 | 0.7109 | 0.1243 | 0.7971 | 0.8243 | -1.0 | 0.8 | 0.8293 | -1.0 | -1.0 | 0 |
|
109 |
+
| 0.1932 | 44.0 | 440 | 0.3612 | 0.7056 | 0.8112 | 0.8112 | -1.0 | 0.7825 | 0.7023 | 0.1229 | 0.7857 | 0.815 | -1.0 | 0.8 | 0.8181 | -1.0 | -1.0 | 0 |
|
110 |
+
| 0.1897 | 45.0 | 450 | 0.3557 | 0.7077 | 0.8105 | 0.8105 | -1.0 | 0.755 | 0.7111 | 0.1229 | 0.7957 | 0.8186 | -1.0 | 0.7667 | 0.8293 | -1.0 | -1.0 | 0 |
|
111 |
+
| 0.213 | 46.0 | 460 | 0.3557 | 0.7136 | 0.8193 | 0.8193 | -1.0 | 0.786 | 0.7101 | 0.1236 | 0.7943 | 0.8229 | -1.0 | 0.8 | 0.8276 | -1.0 | -1.0 | 0 |
|
112 |
+
| 0.2169 | 47.0 | 470 | 0.3567 | 0.7142 | 0.8192 | 0.8192 | -1.0 | 0.7864 | 0.711 | 0.1243 | 0.7957 | 0.8243 | -1.0 | 0.8 | 0.8293 | -1.0 | -1.0 | 0 |
|
113 |
+
| 0.1971 | 48.0 | 480 | 0.3577 | 0.713 | 0.8181 | 0.8181 | -1.0 | 0.7864 | 0.7097 | 0.1236 | 0.7957 | 0.8243 | -1.0 | 0.8 | 0.8293 | -1.0 | -1.0 | 0 |
|
114 |
+
| 0.2515 | 49.0 | 490 | 0.3580 | 0.7134 | 0.8181 | 0.8181 | -1.0 | 0.7864 | 0.71 | 0.1236 | 0.7964 | 0.825 | -1.0 | 0.8 | 0.8302 | -1.0 | -1.0 | 0 |
|
115 |
+
| 0.2874 | 50.0 | 500 | 0.3578 | 0.7134 | 0.8181 | 0.8181 | -1.0 | 0.7864 | 0.7101 | 0.1236 | 0.7964 | 0.825 | -1.0 | 0.8 | 0.8302 | -1.0 | -1.0 | 0 |
|
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116 |
|
117 |
|
118 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
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1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
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size 174075684
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a562673a2c94d2704cb566cc561498b1cc945509122870f5bb7196ff742373c
|
3 |
size 174075684
|
runs/Jun03_11-11-29_ip-10-192-15-5/events.out.tfevents.1717413090.ip-10-192-15-5.2330.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a9aba979b01e6a2cc24dd21847a5c24ed7ae662daaa3ae95a75ea50e6d0e945
|
3 |
+
size 163555
|