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my_awesome_food_model

Image Classification
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TensorBoard
Safetensors
mobilevit
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End of training

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  1. README.md +101 -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: 0.4361
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- - Accuracy: 0.876
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  ## Model description
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@@ -53,106 +53,105 @@ 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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- | 4.6214 | 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
 
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19
  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: 0.5132
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+ - Accuracy: 0.8636
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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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+ | 4.614 | 0.9829 | 43 | 4.6167 | 0.01 |
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+ | 4.5907 | 1.9886 | 87 | 4.5880 | 0.0214 |
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+ | 4.5382 | 2.9943 | 131 | 4.5343 | 0.105 |
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+ | 4.4551 | 4.0 | 175 | 4.4235 | 0.3043 |
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+ | 4.287 | 4.9829 | 218 | 4.2081 | 0.5043 |
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+ | 3.885 | 5.9886 | 262 | 3.8133 | 0.5307 |
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+ | 3.4412 | 6.9943 | 306 | 3.3131 | 0.4907 |
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+ | 2.8825 | 8.0 | 350 | 2.8045 | 0.4871 |
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+ | 2.5521 | 8.9829 | 393 | 2.3834 | 0.4671 |
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+ | 2.2911 | 9.9886 | 437 | 2.0563 | 0.5186 |
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+ | 2.0126 | 10.9943 | 481 | 1.8029 | 0.5679 |
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+ | 1.8294 | 12.0 | 525 | 1.6611 | 0.605 |
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+ | 1.745 | 12.9829 | 568 | 1.4988 | 0.6257 |
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+ | 1.6162 | 13.9886 | 612 | 1.3868 | 0.62 |
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+ | 1.5084 | 14.9943 | 656 | 1.2984 | 0.6429 |
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+ | 1.4441 | 16.0 | 700 | 1.2081 | 0.6457 |
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+ | 1.3625 | 16.9829 | 743 | 1.1554 | 0.6814 |
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+ | 1.2752 | 17.9886 | 787 | 1.0955 | 0.6929 |
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+ | 1.224 | 18.9943 | 831 | 1.0373 | 0.7164 |
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+ | 1.2096 | 20.0 | 875 | 1.0375 | 0.7164 |
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+ | 1.1551 | 20.9829 | 918 | 0.9842 | 0.7414 |
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+ | 1.1079 | 21.9886 | 962 | 0.9645 | 0.7571 |
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+ | 1.0669 | 22.9943 | 1006 | 0.9150 | 0.77 |
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+ | 1.0206 | 24.0 | 1050 | 0.8508 | 0.7836 |
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+ | 0.9963 | 24.9829 | 1093 | 0.8458 | 0.7743 |
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+ | 0.9132 | 25.9886 | 1137 | 0.7838 | 0.7971 |
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+ | 0.863 | 26.9943 | 1181 | 0.7590 | 0.8057 |
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+ | 0.8669 | 28.0 | 1225 | 0.7646 | 0.785 |
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+ | 0.8776 | 28.9829 | 1268 | 0.7084 | 0.8157 |
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+ | 0.793 | 29.9886 | 1312 | 0.6862 | 0.82 |
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+ | 0.7941 | 30.9943 | 1356 | 0.6971 | 0.8143 |
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+ | 0.7863 | 32.0 | 1400 | 0.6135 | 0.8314 |
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+ | 0.7344 | 32.9829 | 1443 | 0.5961 | 0.8407 |
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+ | 0.6888 | 33.9886 | 1487 | 0.6304 | 0.845 |
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+ | 0.6693 | 34.9943 | 1531 | 0.6011 | 0.8364 |
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+ | 0.6736 | 36.0 | 1575 | 0.5917 | 0.8364 |
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+ | 0.6739 | 36.9829 | 1618 | 0.5933 | 0.8336 |
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+ | 0.6595 | 37.9886 | 1662 | 0.5824 | 0.8357 |
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+ | 0.641 | 38.9943 | 1706 | 0.5232 | 0.8579 |
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+ | 0.576 | 40.0 | 1750 | 0.5700 | 0.8393 |
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+ | 0.6097 | 40.9829 | 1793 | 0.5384 | 0.8471 |
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+ | 0.6016 | 41.9886 | 1837 | 0.5824 | 0.8379 |
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+ | 0.6017 | 42.9943 | 1881 | 0.5511 | 0.8443 |
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+ | 0.5937 | 44.0 | 1925 | 0.5095 | 0.8621 |
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+ | 0.5674 | 44.9829 | 1968 | 0.5299 | 0.8536 |
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+ | 0.5575 | 45.9886 | 2012 | 0.5106 | 0.8507 |
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+ | 0.5709 | 46.9943 | 2056 | 0.5445 | 0.8507 |
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+ | 0.5046 | 48.0 | 2100 | 0.4848 | 0.855 |
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+ | 0.5485 | 48.9829 | 2143 | 0.5097 | 0.8564 |
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+ | 0.4865 | 49.9886 | 2187 | 0.5227 | 0.8471 |
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+ | 0.5505 | 50.9943 | 2231 | 0.5127 | 0.8507 |
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+ | 0.4827 | 52.0 | 2275 | 0.5253 | 0.8493 |
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+ | 0.5121 | 52.9829 | 2318 | 0.5095 | 0.8636 |
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+ | 0.4879 | 53.9886 | 2362 | 0.5053 | 0.8621 |
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+ | 0.5008 | 54.9943 | 2406 | 0.5196 | 0.8521 |
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+ | 0.489 | 56.0 | 2450 | 0.4834 | 0.8657 |
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+ | 0.5019 | 56.9829 | 2493 | 0.4714 | 0.8614 |
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+ | 0.4828 | 57.9886 | 2537 | 0.5019 | 0.8571 |
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+ | 0.4373 | 58.9943 | 2581 | 0.4894 | 0.8679 |
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+ | 0.4444 | 60.0 | 2625 | 0.5093 | 0.8657 |
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+ | 0.4178 | 60.9829 | 2668 | 0.5058 | 0.8614 |
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+ | 0.4081 | 61.9886 | 2712 | 0.4996 | 0.8586 |
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+ | 0.4311 | 62.9943 | 2756 | 0.4973 | 0.8557 |
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+ | 0.425 | 64.0 | 2800 | 0.4627 | 0.8743 |
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+ | 0.4147 | 64.9829 | 2843 | 0.4875 | 0.865 |
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+ | 0.4505 | 65.9886 | 2887 | 0.4918 | 0.8636 |
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+ | 0.3621 | 66.9943 | 2931 | 0.4903 | 0.86 |
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+ | 0.4072 | 68.0 | 2975 | 0.4983 | 0.8564 |
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+ | 0.3883 | 68.9829 | 3018 | 0.4635 | 0.8743 |
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+ | 0.4284 | 69.9886 | 3062 | 0.4582 | 0.8686 |
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+ | 0.3891 | 70.9943 | 3106 | 0.4456 | 0.8793 |
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+ | 0.4255 | 72.0 | 3150 | 0.4760 | 0.87 |
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+ | 0.425 | 72.9829 | 3193 | 0.4905 | 0.8721 |
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+ | 0.4301 | 73.9886 | 3237 | 0.4942 | 0.8643 |
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+ | 0.3666 | 74.9943 | 3281 | 0.4824 | 0.8629 |
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+ | 0.4275 | 76.0 | 3325 | 0.4638 | 0.8671 |
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+ | 0.4161 | 76.9829 | 3368 | 0.4859 | 0.8621 |
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+ | 0.3773 | 77.9886 | 3412 | 0.4918 | 0.8521 |
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+ | 0.3591 | 78.9943 | 3456 | 0.4881 | 0.8729 |
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+ | 0.4018 | 80.0 | 3500 | 0.4681 | 0.8707 |
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+ | 0.404 | 80.9829 | 3543 | 0.4882 | 0.86 |
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+ | 0.3987 | 81.9886 | 3587 | 0.4796 | 0.8657 |
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+ | 0.3546 | 82.9943 | 3631 | 0.4945 | 0.8643 |
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+ | 0.3795 | 84.0 | 3675 | 0.4638 | 0.8679 |
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+ | 0.4007 | 84.9829 | 3718 | 0.4624 | 0.8729 |
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+ | 0.3783 | 85.9886 | 3762 | 0.4693 | 0.8729 |
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+ | 0.3498 | 86.9943 | 3806 | 0.4980 | 0.8621 |
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+ | 0.3477 | 88.0 | 3850 | 0.4705 | 0.8671 |
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+ | 0.4022 | 88.9829 | 3893 | 0.4817 | 0.86 |
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+ | 0.3697 | 89.9886 | 3937 | 0.4763 | 0.8629 |
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+ | 0.3828 | 90.9943 | 3981 | 0.4867 | 0.8671 |
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+ | 0.3842 | 92.0 | 4025 | 0.4911 | 0.865 |
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+ | 0.3562 | 92.9829 | 4068 | 0.4562 | 0.875 |
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+ | 0.3343 | 93.9886 | 4112 | 0.4573 | 0.8786 |
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+ | 0.3521 | 94.9943 | 4156 | 0.4481 | 0.8843 |
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+ | 0.3788 | 96.0 | 4200 | 0.4793 | 0.8721 |
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+ | 0.3518 | 96.9829 | 4243 | 0.4802 | 0.8693 |
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+ | 0.3491 | 97.9886 | 4287 | 0.4740 | 0.8686 |
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+ | 0.4063 | 98.2857 | 4300 | 0.5132 | 0.8636 |
 
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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:e800a27edc110740f08b21a89751238a0d896ac648fdc2f81f0e84c9d2cec8e5
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  size 20105428
 
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+ oid sha256:64aa21356d363917b7e61b935d1a2f6c0381578787999fd819321f91f2803e0a
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  size 20105428