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End of training

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  1. README.md +102 -102
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4411
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- - Accuracy: 0.86
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  ## Model description
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@@ -53,106 +53,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 4.2774 | 0.992 | 31 | 4.2776 | 0.563 |
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- | 4.2309 | 1.984 | 62 | 4.2272 | 0.616 |
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- | 4.1622 | 2.976 | 93 | 4.1229 | 0.646 |
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- | 4.045 | 4.0 | 125 | 3.9633 | 0.663 |
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- | 3.87 | 4.992 | 156 | 3.7407 | 0.68 |
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- | 3.6564 | 5.984 | 187 | 3.5054 | 0.694 |
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- | 3.4188 | 6.976 | 218 | 3.1871 | 0.681 |
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- | 3.0118 | 8.0 | 250 | 2.8682 | 0.682 |
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- | 2.6634 | 8.992 | 281 | 2.5058 | 0.668 |
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- | 2.3342 | 9.984 | 312 | 2.1583 | 0.687 |
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- | 2.0751 | 10.9760 | 343 | 1.8516 | 0.708 |
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- | 1.8887 | 12.0 | 375 | 1.6293 | 0.737 |
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- | 1.7637 | 12.992 | 406 | 1.5026 | 0.733 |
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- | 1.6451 | 13.984 | 437 | 1.3837 | 0.745 |
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- | 1.4845 | 14.9760 | 468 | 1.2238 | 0.765 |
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- | 1.3586 | 16.0 | 500 | 1.1391 | 0.775 |
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- | 1.2649 | 16.992 | 531 | 0.9872 | 0.784 |
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- | 1.1469 | 17.984 | 562 | 0.9524 | 0.77 |
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- | 1.0319 | 18.976 | 593 | 0.8425 | 0.797 |
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- | 0.9926 | 20.0 | 625 | 0.8079 | 0.791 |
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- | 0.9592 | 20.992 | 656 | 0.7261 | 0.808 |
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- | 0.8481 | 21.984 | 687 | 0.7273 | 0.799 |
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- | 0.8027 | 22.976 | 718 | 0.6501 | 0.807 |
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- | 0.8258 | 24.0 | 750 | 0.6499 | 0.818 |
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- | 0.7785 | 24.992 | 781 | 0.6178 | 0.83 |
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- | 0.7881 | 25.984 | 812 | 0.6305 | 0.827 |
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- | 0.7034 | 26.976 | 843 | 0.6201 | 0.829 |
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- | 0.705 | 28.0 | 875 | 0.5611 | 0.842 |
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- | 0.6981 | 28.992 | 906 | 0.5357 | 0.846 |
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- | 0.675 | 29.984 | 937 | 0.5622 | 0.844 |
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- | 0.6339 | 30.976 | 968 | 0.5188 | 0.847 |
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- | 0.611 | 32.0 | 1000 | 0.4712 | 0.879 |
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- | 0.6036 | 32.992 | 1031 | 0.5218 | 0.847 |
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- | 0.5909 | 33.984 | 1062 | 0.5201 | 0.84 |
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- | 0.5695 | 34.976 | 1093 | 0.4935 | 0.854 |
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- | 0.5752 | 36.0 | 1125 | 0.4752 | 0.858 |
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- | 0.5487 | 36.992 | 1156 | 0.5121 | 0.837 |
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- | 0.5538 | 37.984 | 1187 | 0.5111 | 0.852 |
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- | 0.5267 | 38.976 | 1218 | 0.4884 | 0.853 |
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- | 0.4907 | 40.0 | 1250 | 0.4921 | 0.859 |
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- | 0.4901 | 40.992 | 1281 | 0.5001 | 0.849 |
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- | 0.5134 | 41.984 | 1312 | 0.4409 | 0.865 |
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- | 0.5019 | 42.976 | 1343 | 0.4730 | 0.863 |
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- | 0.4642 | 44.0 | 1375 | 0.4619 | 0.865 |
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- | 0.4778 | 44.992 | 1406 | 0.4911 | 0.861 |
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- | 0.4521 | 45.984 | 1437 | 0.4471 | 0.855 |
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- | 0.473 | 46.976 | 1468 | 0.4661 | 0.864 |
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- | 0.4752 | 48.0 | 1500 | 0.4917 | 0.848 |
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- | 0.4582 | 48.992 | 1531 | 0.4685 | 0.862 |
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- | 0.4282 | 49.984 | 1562 | 0.4314 | 0.875 |
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- | 0.4344 | 50.976 | 1593 | 0.4270 | 0.878 |
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- | 0.4212 | 52.0 | 1625 | 0.4657 | 0.861 |
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- | 0.4245 | 52.992 | 1656 | 0.4608 | 0.857 |
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- | 0.4055 | 53.984 | 1687 | 0.4717 | 0.856 |
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- | 0.3802 | 54.976 | 1718 | 0.4428 | 0.871 |
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- | 0.4221 | 56.0 | 1750 | 0.4088 | 0.88 |
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- | 0.4254 | 56.992 | 1781 | 0.4310 | 0.869 |
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- | 0.3963 | 57.984 | 1812 | 0.4320 | 0.864 |
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- | 0.4375 | 58.976 | 1843 | 0.4404 | 0.876 |
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- | 0.3685 | 60.0 | 1875 | 0.4369 | 0.866 |
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- | 0.3911 | 60.992 | 1906 | 0.4491 | 0.861 |
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- | 0.3761 | 61.984 | 1937 | 0.4509 | 0.86 |
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- | 0.3703 | 62.976 | 1968 | 0.4468 | 0.861 |
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- | 0.3602 | 64.0 | 2000 | 0.4596 | 0.87 |
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- | 0.4034 | 64.992 | 2031 | 0.4232 | 0.86 |
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- | 0.3726 | 65.984 | 2062 | 0.4214 | 0.877 |
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- | 0.4187 | 66.976 | 2093 | 0.4509 | 0.868 |
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- | 0.3858 | 68.0 | 2125 | 0.4067 | 0.878 |
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- | 0.3933 | 68.992 | 2156 | 0.4295 | 0.879 |
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- | 0.3461 | 69.984 | 2187 | 0.4092 | 0.88 |
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- | 0.3909 | 70.976 | 2218 | 0.4518 | 0.862 |
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- | 0.3737 | 72.0 | 2250 | 0.4414 | 0.867 |
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- | 0.344 | 72.992 | 2281 | 0.4335 | 0.869 |
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- | 0.3403 | 73.984 | 2312 | 0.4470 | 0.863 |
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- | 0.3433 | 74.976 | 2343 | 0.4016 | 0.881 |
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- | 0.3292 | 76.0 | 2375 | 0.4565 | 0.861 |
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- | 0.3115 | 76.992 | 2406 | 0.4368 | 0.87 |
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- | 0.3498 | 77.984 | 2437 | 0.4516 | 0.862 |
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- | 0.3456 | 78.976 | 2468 | 0.3779 | 0.889 |
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- | 0.3284 | 80.0 | 2500 | 0.4441 | 0.865 |
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- | 0.3723 | 80.992 | 2531 | 0.4150 | 0.874 |
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- | 0.3269 | 81.984 | 2562 | 0.4491 | 0.864 |
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- | 0.3863 | 82.976 | 2593 | 0.4106 | 0.884 |
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- | 0.3376 | 84.0 | 2625 | 0.4367 | 0.87 |
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- | 0.3794 | 84.992 | 2656 | 0.4282 | 0.863 |
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- | 0.3498 | 85.984 | 2687 | 0.4185 | 0.877 |
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- | 0.293 | 86.976 | 2718 | 0.4207 | 0.87 |
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- | 0.3106 | 88.0 | 2750 | 0.4316 | 0.873 |
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- | 0.3061 | 88.992 | 2781 | 0.4254 | 0.874 |
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- | 0.3235 | 89.984 | 2812 | 0.4251 | 0.878 |
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- | 0.3182 | 90.976 | 2843 | 0.4247 | 0.873 |
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- | 0.3666 | 92.0 | 2875 | 0.4079 | 0.879 |
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- | 0.336 | 92.992 | 2906 | 0.4187 | 0.871 |
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- | 0.3262 | 93.984 | 2937 | 0.4461 | 0.868 |
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- | 0.3504 | 94.976 | 2968 | 0.4713 | 0.852 |
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- | 0.3106 | 96.0 | 3000 | 0.4610 | 0.863 |
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- | 0.2671 | 96.992 | 3031 | 0.4614 | 0.866 |
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- | 0.2929 | 97.984 | 3062 | 0.4278 | 0.872 |
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- | 0.353 | 98.976 | 3093 | 0.4134 | 0.872 |
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- | 0.3331 | 99.2 | 3100 | 0.4411 | 0.86 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
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+ - Loss: 0.4361
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+ - Accuracy: 0.876
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 4.6214 | 0.992 | 31 | 4.6184 | 0.007 |
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+ | 4.6022 | 1.984 | 62 | 4.5979 | 0.014 |
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+ | 4.5636 | 2.976 | 93 | 4.5558 | 0.067 |
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+ | 4.5023 | 4.0 | 125 | 4.4768 | 0.212 |
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+ | 4.3934 | 4.992 | 156 | 4.3454 | 0.433 |
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+ | 4.2003 | 5.984 | 187 | 4.0964 | 0.607 |
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+ | 3.8984 | 6.976 | 218 | 3.7063 | 0.615 |
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+ | 3.374 | 8.0 | 250 | 3.2341 | 0.582 |
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+ | 2.9545 | 8.992 | 281 | 2.8340 | 0.509 |
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+ | 2.505 | 9.984 | 312 | 2.3266 | 0.5 |
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+ | 2.2069 | 10.9760 | 343 | 2.0432 | 0.508 |
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+ | 2.0441 | 12.0 | 375 | 1.8380 | 0.503 |
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+ | 1.8868 | 12.992 | 406 | 1.6633 | 0.606 |
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+ | 1.7642 | 13.984 | 437 | 1.5649 | 0.692 |
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+ | 1.6084 | 14.9760 | 468 | 1.4738 | 0.73 |
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+ | 1.4874 | 16.0 | 500 | 1.4172 | 0.718 |
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+ | 1.448 | 16.992 | 531 | 1.3266 | 0.733 |
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+ | 1.3518 | 17.984 | 562 | 1.2436 | 0.748 |
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+ | 1.3299 | 18.976 | 593 | 1.1599 | 0.744 |
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+ | 1.2064 | 20.0 | 625 | 1.0501 | 0.757 |
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+ | 1.0958 | 20.992 | 656 | 0.9674 | 0.773 |
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+ | 1.0557 | 21.984 | 687 | 0.9103 | 0.773 |
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+ | 0.9914 | 22.976 | 718 | 0.8328 | 0.788 |
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+ | 0.9722 | 24.0 | 750 | 0.7971 | 0.785 |
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+ | 0.9078 | 24.992 | 781 | 0.7436 | 0.79 |
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+ | 0.8109 | 25.984 | 812 | 0.7115 | 0.788 |
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+ | 0.7676 | 26.976 | 843 | 0.6831 | 0.79 |
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+ | 0.7922 | 28.0 | 875 | 0.6401 | 0.821 |
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+ | 0.74 | 28.992 | 906 | 0.5785 | 0.839 |
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+ | 0.7596 | 29.984 | 937 | 0.5877 | 0.841 |
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+ | 0.7252 | 30.976 | 968 | 0.5863 | 0.834 |
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+ | 0.6678 | 32.0 | 1000 | 0.5692 | 0.839 |
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+ | 0.6351 | 32.992 | 1031 | 0.5220 | 0.854 |
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+ | 0.6539 | 33.984 | 1062 | 0.5057 | 0.857 |
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+ | 0.6201 | 34.976 | 1093 | 0.5335 | 0.84 |
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+ | 0.5899 | 36.0 | 1125 | 0.5147 | 0.85 |
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+ | 0.5856 | 36.992 | 1156 | 0.5303 | 0.844 |
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+ | 0.6323 | 37.984 | 1187 | 0.4807 | 0.861 |
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+ | 0.5621 | 38.976 | 1218 | 0.4816 | 0.864 |
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+ | 0.5624 | 40.0 | 1250 | 0.4955 | 0.857 |
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+ | 0.5705 | 40.992 | 1281 | 0.4755 | 0.869 |
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+ | 0.5284 | 41.984 | 1312 | 0.4687 | 0.865 |
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+ | 0.5631 | 42.976 | 1343 | 0.4749 | 0.86 |
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+ | 0.5457 | 44.0 | 1375 | 0.4634 | 0.862 |
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+ | 0.4966 | 44.992 | 1406 | 0.4351 | 0.868 |
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+ | 0.529 | 45.984 | 1437 | 0.4636 | 0.866 |
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+ | 0.4893 | 46.976 | 1468 | 0.4443 | 0.87 |
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+ | 0.4825 | 48.0 | 1500 | 0.4523 | 0.868 |
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+ | 0.4525 | 48.992 | 1531 | 0.4437 | 0.866 |
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+ | 0.4701 | 49.984 | 1562 | 0.4454 | 0.862 |
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+ | 0.4458 | 50.976 | 1593 | 0.4478 | 0.869 |
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+ | 0.4536 | 52.0 | 1625 | 0.4546 | 0.871 |
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+ | 0.4648 | 52.992 | 1656 | 0.4289 | 0.871 |
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+ | 0.4525 | 53.984 | 1687 | 0.4345 | 0.867 |
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+ | 0.4107 | 54.976 | 1718 | 0.4442 | 0.865 |
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+ | 0.4103 | 56.0 | 1750 | 0.4157 | 0.881 |
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+ | 0.4036 | 56.992 | 1781 | 0.4327 | 0.869 |
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+ | 0.3903 | 57.984 | 1812 | 0.3975 | 0.88 |
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+ | 0.4436 | 58.976 | 1843 | 0.4322 | 0.867 |
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+ | 0.4284 | 60.0 | 1875 | 0.4009 | 0.879 |
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+ | 0.4143 | 60.992 | 1906 | 0.4051 | 0.872 |
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+ | 0.4235 | 61.984 | 1937 | 0.4250 | 0.863 |
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+ | 0.4178 | 62.976 | 1968 | 0.3673 | 0.894 |
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+ | 0.3816 | 64.0 | 2000 | 0.4190 | 0.873 |
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+ | 0.3937 | 64.992 | 2031 | 0.4337 | 0.87 |
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+ | 0.3544 | 65.984 | 2062 | 0.4401 | 0.862 |
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+ | 0.3826 | 66.976 | 2093 | 0.4123 | 0.878 |
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+ | 0.4198 | 68.0 | 2125 | 0.4187 | 0.874 |
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+ | 0.3969 | 68.992 | 2156 | 0.4189 | 0.872 |
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+ | 0.367 | 69.984 | 2187 | 0.4344 | 0.857 |
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+ | 0.3725 | 70.976 | 2218 | 0.4381 | 0.867 |
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+ | 0.3277 | 72.0 | 2250 | 0.4323 | 0.861 |
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+ | 0.321 | 72.992 | 2281 | 0.3919 | 0.876 |
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+ | 0.3781 | 73.984 | 2312 | 0.4653 | 0.869 |
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+ | 0.3446 | 74.976 | 2343 | 0.4093 | 0.873 |
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+ | 0.35 | 76.0 | 2375 | 0.4380 | 0.871 |
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+ | 0.3149 | 76.992 | 2406 | 0.4107 | 0.876 |
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+ | 0.338 | 77.984 | 2437 | 0.3742 | 0.887 |
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+ | 0.364 | 78.976 | 2468 | 0.4232 | 0.88 |
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+ | 0.3635 | 80.0 | 2500 | 0.4705 | 0.863 |
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+ | 0.358 | 80.992 | 2531 | 0.4072 | 0.89 |
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+ | 0.3465 | 81.984 | 2562 | 0.4147 | 0.873 |
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+ | 0.3393 | 82.976 | 2593 | 0.4239 | 0.867 |
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+ | 0.3314 | 84.0 | 2625 | 0.4467 | 0.865 |
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+ | 0.318 | 84.992 | 2656 | 0.4513 | 0.86 |
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+ | 0.367 | 85.984 | 2687 | 0.4396 | 0.86 |
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+ | 0.3247 | 86.976 | 2718 | 0.3817 | 0.882 |
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+ | 0.3483 | 88.0 | 2750 | 0.4138 | 0.877 |
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+ | 0.3022 | 88.992 | 2781 | 0.4301 | 0.874 |
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+ | 0.3352 | 89.984 | 2812 | 0.4032 | 0.876 |
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+ | 0.3619 | 90.976 | 2843 | 0.4021 | 0.873 |
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+ | 0.3184 | 92.0 | 2875 | 0.3773 | 0.886 |
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+ | 0.331 | 92.992 | 2906 | 0.4270 | 0.876 |
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+ | 0.3508 | 93.984 | 2937 | 0.3712 | 0.882 |
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+ | 0.3301 | 94.976 | 2968 | 0.4154 | 0.874 |
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+ | 0.294 | 96.0 | 3000 | 0.4172 | 0.873 |
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+ | 0.3174 | 96.992 | 3031 | 0.4387 | 0.872 |
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+ | 0.3444 | 97.984 | 3062 | 0.4301 | 0.867 |
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+ | 0.3541 | 98.976 | 3093 | 0.4190 | 0.872 |
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+ | 0.3146 | 99.2 | 3100 | 0.4361 | 0.876 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:a1cfd169145cebed44a5f5742c8f8e17a6d8c067e1de54f23778af03f9355234
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  size 20105428
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:7188b14cedaa7cac5b607abaa4512b9fedefc102e69d287c671e49090f99f421
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  size 20105428