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davanstrien
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vit-base-patch32-224-in21-leicester_binary

Image Classification
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vit
vision
Generated from Trainer
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update model card README.md

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  ---
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  license: apache-2.0
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  tags:
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- - image-classification
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- - vision
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  - generated_from_trainer
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  metrics:
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  - f1
@@ -16,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-patch32-224-in21-leicester_binary
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- This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the davanstrien/leicester_loaded_annotations_binary dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0949
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- - F1: 0.9747
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  ## Model description
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@@ -51,46 +49,46 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 7 | 0.4576 | 0.8608 |
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- | 0.5021 | 2.0 | 14 | 0.3953 | 0.8608 |
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- | 0.3595 | 3.0 | 21 | 0.3809 | 0.8608 |
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- | 0.3595 | 4.0 | 28 | 0.3286 | 0.8608 |
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- | 0.3009 | 5.0 | 35 | 0.2945 | 0.8608 |
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- | 0.2843 | 6.0 | 42 | 0.3528 | 0.8608 |
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- | 0.2843 | 7.0 | 49 | 0.2345 | 0.8608 |
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- | 0.266 | 8.0 | 56 | 0.2499 | 0.8608 |
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- | 0.222 | 9.0 | 63 | 0.2544 | 0.8608 |
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- | 0.2018 | 10.0 | 70 | 0.1954 | 0.8608 |
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- | 0.2018 | 11.0 | 77 | 0.2351 | 0.8608 |
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- | 0.1948 | 12.0 | 84 | 0.1705 | 0.8608 |
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- | 0.2053 | 13.0 | 91 | 0.1625 | 0.8734 |
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- | 0.2053 | 14.0 | 98 | 0.1719 | 0.9367 |
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- | 0.1729 | 15.0 | 105 | 0.1489 | 0.9367 |
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- | 0.1535 | 16.0 | 112 | 0.1450 | 0.9494 |
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- | 0.1535 | 17.0 | 119 | 0.1750 | 0.9494 |
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- | 0.1492 | 18.0 | 126 | 0.1514 | 0.9494 |
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- | 0.1349 | 19.0 | 133 | 0.1304 | 0.9620 |
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- | 0.1538 | 20.0 | 140 | 0.1291 | 0.9620 |
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- | 0.1538 | 21.0 | 147 | 0.1306 | 0.9620 |
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- | 0.1357 | 22.0 | 154 | 0.1283 | 0.9620 |
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- | 0.147 | 23.0 | 161 | 0.1289 | 0.9494 |
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- | 0.147 | 24.0 | 168 | 0.1339 | 0.9747 |
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- | 0.1388 | 25.0 | 175 | 0.1244 | 0.9494 |
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- | 0.1192 | 26.0 | 182 | 0.1117 | 0.9747 |
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- | 0.1192 | 27.0 | 189 | 0.1105 | 0.9873 |
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- | 0.112 | 28.0 | 196 | 0.1079 | 0.9747 |
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- | 0.1215 | 29.0 | 203 | 0.1151 | 0.9620 |
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- | 0.1139 | 30.0 | 210 | 0.1008 | 0.9873 |
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- | 0.1139 | 31.0 | 217 | 0.1033 | 0.9747 |
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- | 0.1164 | 32.0 | 224 | 0.0985 | 0.9873 |
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- | 0.1192 | 33.0 | 231 | 0.0955 | 0.9873 |
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- | 0.1192 | 34.0 | 238 | 0.1077 | 0.9620 |
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- | 0.1132 | 35.0 | 245 | 0.1107 | 0.9620 |
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- | 0.1021 | 36.0 | 252 | 0.0958 | 0.9873 |
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- | 0.1021 | 37.0 | 259 | 0.0957 | 0.9873 |
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- | 0.0945 | 38.0 | 266 | 0.0951 | 0.9747 |
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- | 0.1244 | 39.0 | 273 | 0.0949 | 0.9747 |
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- | 0.1012 | 40.0 | 280 | 0.0955 | 0.9873 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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  tags:
 
 
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  - generated_from_trainer
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  metrics:
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  - f1
 
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  # vit-base-patch32-224-in21-leicester_binary
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+ This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1499
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+ - F1: 0.9494
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 7 | 0.4529 | 0.8608 |
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+ | 0.5024 | 2.0 | 14 | 0.3989 | 0.8608 |
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+ | 0.3533 | 3.0 | 21 | 0.3741 | 0.8608 |
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+ | 0.3533 | 4.0 | 28 | 0.3161 | 0.8608 |
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+ | 0.285 | 5.0 | 35 | 0.2824 | 0.8608 |
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+ | 0.2491 | 6.0 | 42 | 0.2701 | 0.8608 |
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+ | 0.2491 | 7.0 | 49 | 0.2062 | 0.9114 |
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+ | 0.2032 | 8.0 | 56 | 0.2050 | 0.9494 |
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+ | 0.157 | 9.0 | 63 | 0.2013 | 0.9494 |
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+ | 0.1127 | 10.0 | 70 | 0.1960 | 0.9367 |
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+ | 0.1127 | 11.0 | 77 | 0.1417 | 0.9494 |
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+ | 0.0903 | 12.0 | 84 | 0.1307 | 0.9494 |
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+ | 0.0922 | 13.0 | 91 | 0.0870 | 0.9873 |
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+ | 0.0922 | 14.0 | 98 | 0.2048 | 0.9241 |
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+ | 0.0595 | 15.0 | 105 | 0.1204 | 0.9620 |
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+ | 0.0527 | 16.0 | 112 | 0.2553 | 0.9367 |
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+ | 0.0527 | 17.0 | 119 | 0.1675 | 0.9367 |
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+ | 0.0477 | 18.0 | 126 | 0.2265 | 0.9241 |
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+ | 0.0411 | 19.0 | 133 | 0.1901 | 0.9367 |
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+ | 0.0299 | 20.0 | 140 | 0.2423 | 0.9241 |
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+ | 0.0299 | 21.0 | 147 | 0.0639 | 0.9873 |
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+ | 0.0487 | 22.0 | 154 | 0.1255 | 0.9494 |
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+ | 0.0359 | 23.0 | 161 | 0.1213 | 0.9494 |
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+ | 0.0359 | 24.0 | 168 | 0.0727 | 0.9747 |
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+ | 0.0302 | 25.0 | 175 | 0.1116 | 0.9494 |
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+ | 0.0304 | 26.0 | 182 | 0.1062 | 0.9494 |
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+ | 0.0304 | 27.0 | 189 | 0.2097 | 0.9241 |
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+ | 0.0274 | 28.0 | 196 | 0.1276 | 0.9494 |
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+ | 0.0291 | 29.0 | 203 | 0.0967 | 0.9494 |
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+ | 0.0202 | 30.0 | 210 | 0.0765 | 0.9747 |
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+ | 0.0202 | 31.0 | 217 | 0.0628 | 0.9873 |
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+ | 0.0232 | 32.0 | 224 | 0.1388 | 0.9494 |
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+ | 0.0264 | 33.0 | 231 | 0.1062 | 0.9494 |
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+ | 0.0264 | 34.0 | 238 | 0.1320 | 0.9494 |
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+ | 0.0219 | 35.0 | 245 | 0.1528 | 0.9494 |
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+ | 0.0194 | 36.0 | 252 | 0.1746 | 0.9494 |
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+ | 0.0194 | 37.0 | 259 | 0.1609 | 0.9494 |
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+ | 0.0204 | 38.0 | 266 | 0.1482 | 0.9494 |
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+ | 0.0217 | 39.0 | 273 | 0.1522 | 0.9494 |
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+ | 0.0216 | 40.0 | 280 | 0.1499 | 0.9494 |
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  ### Framework versions