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vit
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  1. README.md +53 -53
  2. config.json +0 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6328
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  - Accuracy: 0.8503
 
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  ## Model description
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@@ -49,58 +49,58 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 2.9726 | 0.9953 | 53 | 2.9325 | 0.1321 |
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- | 2.5775 | 1.9906 | 106 | 2.4443 | 0.2765 |
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- | 2.0438 | 2.9859 | 159 | 1.9166 | 0.4247 |
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- | 1.5681 | 4.0 | 213 | 1.5682 | 0.5003 |
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- | 1.3107 | 4.9953 | 266 | 1.3651 | 0.5581 |
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- | 1.1594 | 5.9906 | 319 | 1.1995 | 0.6131 |
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- | 1.0232 | 6.9859 | 372 | 1.0813 | 0.6575 |
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- | 0.934 | 8.0 | 426 | 0.9652 | 0.7081 |
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- | 0.8727 | 8.9953 | 479 | 0.8802 | 0.7333 |
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- | 0.7644 | 9.9906 | 532 | 0.8551 | 0.7378 |
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- | 0.7007 | 10.9859 | 585 | 0.7584 | 0.7663 |
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- | 0.6585 | 12.0 | 639 | 0.7550 | 0.7673 |
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- | 0.59 | 12.9953 | 692 | 0.7072 | 0.7847 |
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- | 0.5775 | 13.9906 | 745 | 0.7042 | 0.7860 |
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- | 0.5487 | 14.9859 | 798 | 0.6649 | 0.7981 |
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- | 0.5296 | 16.0 | 852 | 0.6387 | 0.7958 |
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- | 0.4866 | 16.9953 | 905 | 0.6029 | 0.8125 |
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- | 0.4779 | 17.9906 | 958 | 0.6498 | 0.7935 |
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- | 0.4418 | 18.9859 | 1011 | 0.6004 | 0.8128 |
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- | 0.4334 | 20.0 | 1065 | 0.5995 | 0.8165 |
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- | 0.4097 | 20.9953 | 1118 | 0.5508 | 0.8326 |
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- | 0.3947 | 21.9906 | 1171 | 0.5585 | 0.8315 |
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- | 0.3521 | 22.9859 | 1224 | 0.5513 | 0.8328 |
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- | 0.3298 | 24.0 | 1278 | 0.5810 | 0.8319 |
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- | 0.3216 | 24.9953 | 1331 | 0.5499 | 0.8358 |
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- | 0.3086 | 25.9906 | 1384 | 0.5383 | 0.8394 |
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- | 0.2912 | 26.9859 | 1437 | 0.5845 | 0.8349 |
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- | 0.2801 | 28.0 | 1491 | 0.5717 | 0.8423 |
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- | 0.2677 | 28.9953 | 1544 | 0.5563 | 0.8434 |
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- | 0.263 | 29.9906 | 1597 | 0.5684 | 0.8434 |
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- | 0.244 | 30.9859 | 1650 | 0.5900 | 0.8408 |
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- | 0.2449 | 32.0 | 1704 | 0.6121 | 0.8330 |
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- | 0.2276 | 32.9953 | 1757 | 0.5891 | 0.8428 |
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- | 0.2407 | 33.9906 | 1810 | 0.6033 | 0.8374 |
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- | 0.1997 | 34.9859 | 1863 | 0.5969 | 0.8459 |
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- | 0.2081 | 36.0 | 1917 | 0.5824 | 0.8451 |
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- | 0.1936 | 36.9953 | 1970 | 0.5834 | 0.8470 |
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- | 0.1975 | 37.9906 | 2023 | 0.6106 | 0.8446 |
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- | 0.1938 | 38.9859 | 2076 | 0.6166 | 0.8433 |
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- | 0.1874 | 40.0 | 2130 | 0.5823 | 0.8538 |
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- | 0.184 | 40.9953 | 2183 | 0.6395 | 0.8434 |
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- | 0.1584 | 41.9906 | 2236 | 0.6060 | 0.8542 |
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- | 0.1608 | 42.9859 | 2289 | 0.6289 | 0.8479 |
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- | 0.1604 | 44.0 | 2343 | 0.6105 | 0.8523 |
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- | 0.1398 | 44.9953 | 2396 | 0.6340 | 0.8502 |
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- | 0.1487 | 45.9906 | 2449 | 0.6414 | 0.8489 |
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- | 0.137 | 46.9859 | 2502 | 0.6285 | 0.8484 |
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- | 0.1223 | 48.0 | 2556 | 0.6331 | 0.8507 |
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- | 0.1339 | 48.9953 | 2609 | 0.6295 | 0.8492 |
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- | 0.1368 | 49.7653 | 2650 | 0.6328 | 0.8503 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  - Accuracy: 0.8503
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+ - Loss: 0.6328
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-------:|:----:|:--------:|:---------------:|
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+ | 2.9726 | 0.9953 | 53 | 0.1321 | 2.9325 |
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+ | 2.5775 | 1.9906 | 106 | 0.2765 | 2.4443 |
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+ | 2.0438 | 2.9859 | 159 | 0.4247 | 1.9166 |
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+ | 1.5681 | 4.0 | 213 | 0.5003 | 1.5682 |
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+ | 1.3107 | 4.9953 | 266 | 0.5581 | 1.3651 |
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+ | 1.1594 | 5.9906 | 319 | 0.6131 | 1.1995 |
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+ | 1.0232 | 6.9859 | 372 | 0.6575 | 1.0813 |
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+ | 0.934 | 8.0 | 426 | 0.7081 | 0.9652 |
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+ | 0.8727 | 8.9953 | 479 | 0.7333 | 0.8802 |
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+ | 0.7644 | 9.9906 | 532 | 0.7378 | 0.8551 |
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+ | 0.7007 | 10.9859 | 585 | 0.7663 | 0.7584 |
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+ | 0.6585 | 12.0 | 639 | 0.7673 | 0.7550 |
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+ | 0.59 | 12.9953 | 692 | 0.7847 | 0.7072 |
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+ | 0.5775 | 13.9906 | 745 | 0.7860 | 0.7042 |
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+ | 0.5487 | 14.9859 | 798 | 0.7981 | 0.6649 |
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+ | 0.5296 | 16.0 | 852 | 0.7958 | 0.6387 |
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+ | 0.4866 | 16.9953 | 905 | 0.8125 | 0.6029 |
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+ | 0.4779 | 17.9906 | 958 | 0.7935 | 0.6498 |
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+ | 0.4418 | 18.9859 | 1011 | 0.8128 | 0.6004 |
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+ | 0.4334 | 20.0 | 1065 | 0.8165 | 0.5995 |
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+ | 0.4097 | 20.9953 | 1118 | 0.8326 | 0.5508 |
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+ | 0.3947 | 21.9906 | 1171 | 0.8315 | 0.5585 |
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+ | 0.3521 | 22.9859 | 1224 | 0.8328 | 0.5513 |
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+ | 0.3298 | 24.0 | 1278 | 0.8319 | 0.5810 |
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+ | 0.3216 | 24.9953 | 1331 | 0.8358 | 0.5499 |
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+ | 0.3086 | 25.9906 | 1384 | 0.8394 | 0.5383 |
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+ | 0.2912 | 26.9859 | 1437 | 0.8349 | 0.5845 |
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+ | 0.2801 | 28.0 | 1491 | 0.8423 | 0.5717 |
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+ | 0.2677 | 28.9953 | 1544 | 0.8434 | 0.5563 |
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+ | 0.263 | 29.9906 | 1597 | 0.8434 | 0.5684 |
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+ | 0.244 | 30.9859 | 1650 | 0.8408 | 0.5900 |
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+ | 0.2449 | 32.0 | 1704 | 0.8330 | 0.6121 |
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+ | 0.2276 | 32.9953 | 1757 | 0.8428 | 0.5891 |
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+ | 0.2407 | 33.9906 | 1810 | 0.8374 | 0.6033 |
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+ | 0.1997 | 34.9859 | 1863 | 0.8459 | 0.5969 |
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+ | 0.2081 | 36.0 | 1917 | 0.8451 | 0.5824 |
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+ | 0.1936 | 36.9953 | 1970 | 0.8470 | 0.5834 |
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+ | 0.1975 | 37.9906 | 2023 | 0.8446 | 0.6106 |
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+ | 0.1938 | 38.9859 | 2076 | 0.8433 | 0.6166 |
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+ | 0.1874 | 40.0 | 2130 | 0.8538 | 0.5823 |
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+ | 0.184 | 40.9953 | 2183 | 0.8434 | 0.6395 |
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+ | 0.1584 | 41.9906 | 2236 | 0.8542 | 0.6060 |
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+ | 0.1608 | 42.9859 | 2289 | 0.8479 | 0.6289 |
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+ | 0.1604 | 44.0 | 2343 | 0.8523 | 0.6105 |
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+ | 0.1398 | 44.9953 | 2396 | 0.8502 | 0.6340 |
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+ | 0.1487 | 45.9906 | 2449 | 0.8489 | 0.6414 |
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+ | 0.137 | 46.9859 | 2502 | 0.8484 | 0.6285 |
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+ | 0.1223 | 48.0 | 2556 | 0.8507 | 0.6331 |
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+ | 0.1339 | 48.9953 | 2609 | 0.8492 | 0.6295 |
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+ | 0.1368 | 49.7653 | 2650 | 0.8503 | 0.6328 |
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  ### Framework versions
config.json CHANGED
@@ -69,7 +69,6 @@
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
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- "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.46.0.dev0"
 
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
 
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.46.0.dev0"
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  size 5368
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:5a91afc22cdc0264ec007027aef7199c16e493e87474be10cb1c09255f2c9ce1
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  size 5368