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Image Classification
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PyTorch
vit
Generated from Trainer
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  1. README.md +52 -52
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2071
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  - Recall: 0.6533
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  ## Model description
@@ -67,57 +67,57 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 9 | 0.6362 | 0.3333 |
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- | No log | 2.0 | 18 | 0.4641 | 0.0 |
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- | No log | 3.0 | 27 | 0.3251 | 0.0 |
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- | No log | 4.0 | 36 | 0.2605 | 0.0 |
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- | No log | 5.0 | 45 | 0.2100 | 0.0 |
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- | No log | 6.0 | 54 | 0.1943 | 0.08 |
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- | No log | 7.0 | 63 | 0.1986 | 0.64 |
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- | No log | 8.0 | 72 | 0.1856 | 0.6933 |
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- | No log | 9.0 | 81 | 0.1654 | 0.6933 |
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- | No log | 10.0 | 90 | 0.1593 | 0.72 |
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- | No log | 11.0 | 99 | 0.1638 | 0.68 |
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- | No log | 12.0 | 108 | 0.1732 | 0.6933 |
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- | No log | 13.0 | 117 | 0.1748 | 0.56 |
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- | No log | 14.0 | 126 | 0.1792 | 0.6533 |
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- | No log | 15.0 | 135 | 0.1743 | 0.84 |
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- | No log | 16.0 | 144 | 0.1760 | 0.5733 |
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- | No log | 17.0 | 153 | 0.1641 | 0.6 |
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- | No log | 18.0 | 162 | 0.1558 | 0.76 |
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- | No log | 19.0 | 171 | 0.2121 | 0.7867 |
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- | No log | 20.0 | 180 | 0.1765 | 0.56 |
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- | No log | 21.0 | 189 | 0.1802 | 0.7733 |
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- | No log | 22.0 | 198 | 0.1729 | 0.7467 |
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- | No log | 23.0 | 207 | 0.2004 | 0.48 |
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- | No log | 24.0 | 216 | 0.1794 | 0.72 |
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- | No log | 25.0 | 225 | 0.2185 | 0.7867 |
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- | No log | 26.0 | 234 | 0.2115 | 0.8533 |
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- | No log | 27.0 | 243 | 0.1999 | 0.7067 |
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- | No log | 28.0 | 252 | 0.1900 | 0.5467 |
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- | No log | 29.0 | 261 | 0.2158 | 0.72 |
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- | No log | 30.0 | 270 | 0.2515 | 0.8533 |
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- | No log | 31.0 | 279 | 0.2322 | 0.7733 |
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- | No log | 32.0 | 288 | 0.2024 | 0.8 |
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- | No log | 33.0 | 297 | 0.2342 | 0.76 |
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- | No log | 34.0 | 306 | 0.2205 | 0.7467 |
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- | No log | 35.0 | 315 | 0.1820 | 0.7067 |
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- | No log | 36.0 | 324 | 0.2169 | 0.68 |
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- | No log | 37.0 | 333 | 0.2170 | 0.6133 |
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- | No log | 38.0 | 342 | 0.1767 | 0.68 |
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- | No log | 39.0 | 351 | 0.2326 | 0.8133 |
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- | No log | 40.0 | 360 | 0.2386 | 0.76 |
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- | No log | 41.0 | 369 | 0.2431 | 0.68 |
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- | No log | 42.0 | 378 | 0.2160 | 0.6933 |
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- | No log | 43.0 | 387 | 0.2234 | 0.76 |
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- | No log | 44.0 | 396 | 0.2491 | 0.7467 |
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- | No log | 45.0 | 405 | 0.2342 | 0.6933 |
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- | No log | 46.0 | 414 | 0.2124 | 0.7333 |
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- | No log | 47.0 | 423 | 0.2602 | 0.6533 |
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- | No log | 48.0 | 432 | 0.2702 | 0.6133 |
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- | No log | 49.0 | 441 | 0.2258 | 0.6533 |
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- | No log | 50.0 | 450 | 0.2158 | 0.64 |
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- | No log | 51.0 | 459 | 0.2071 | 0.6533 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3295
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  - Recall: 0.6533
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 0.95 | 5 | 0.6389 | 0.0133 |
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+ | No log | 1.9 | 10 | 0.5645 | 0.0 |
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+ | No log | 2.86 | 15 | 0.4792 | 0.0 |
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+ | No log | 4.0 | 21 | 0.4224 | 0.0 |
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+ | No log | 4.95 | 26 | 0.3652 | 0.0 |
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+ | No log | 5.9 | 31 | 0.3357 | 0.0 |
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+ | No log | 6.86 | 36 | 0.2953 | 0.0 |
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+ | No log | 8.0 | 42 | 0.2909 | 0.0133 |
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+ | No log | 8.95 | 47 | 0.2937 | 0.7333 |
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+ | No log | 9.9 | 52 | 0.2718 | 0.68 |
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+ | No log | 10.86 | 57 | 0.2673 | 0.64 |
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+ | No log | 12.0 | 63 | 0.3019 | 0.8667 |
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+ | No log | 12.95 | 68 | 0.2945 | 0.4667 |
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+ | No log | 13.9 | 73 | 0.2669 | 0.6667 |
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+ | No log | 14.86 | 78 | 0.2504 | 0.7467 |
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+ | No log | 16.0 | 84 | 0.2380 | 0.64 |
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+ | No log | 16.95 | 89 | 0.2525 | 0.64 |
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+ | No log | 17.9 | 94 | 0.2648 | 0.7467 |
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+ | No log | 18.86 | 99 | 0.2711 | 0.7067 |
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+ | No log | 20.0 | 105 | 0.2747 | 0.64 |
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+ | No log | 20.95 | 110 | 0.2772 | 0.64 |
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+ | No log | 21.9 | 115 | 0.3000 | 0.6267 |
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+ | No log | 22.86 | 120 | 0.2871 | 0.5733 |
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+ | No log | 24.0 | 126 | 0.3025 | 0.6667 |
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+ | No log | 24.95 | 131 | 0.3317 | 0.5867 |
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+ | No log | 25.9 | 136 | 0.3171 | 0.5467 |
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+ | No log | 26.86 | 141 | 0.3322 | 0.64 |
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+ | No log | 28.0 | 147 | 0.3207 | 0.6533 |
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+ | No log | 28.95 | 152 | 0.3492 | 0.5733 |
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+ | No log | 29.9 | 157 | 0.2965 | 0.68 |
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+ | No log | 30.86 | 162 | 0.3256 | 0.72 |
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+ | No log | 32.0 | 168 | 0.3460 | 0.6267 |
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+ | No log | 32.95 | 173 | 0.3118 | 0.7067 |
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+ | No log | 33.9 | 178 | 0.3656 | 0.6933 |
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+ | No log | 34.86 | 183 | 0.3111 | 0.5867 |
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+ | No log | 36.0 | 189 | 0.3119 | 0.6667 |
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+ | No log | 36.95 | 194 | 0.3524 | 0.72 |
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+ | No log | 37.9 | 199 | 0.3457 | 0.5333 |
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+ | No log | 38.86 | 204 | 0.3460 | 0.56 |
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+ | No log | 40.0 | 210 | 0.3518 | 0.6933 |
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+ | No log | 40.95 | 215 | 0.2948 | 0.5867 |
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+ | No log | 41.9 | 220 | 0.3640 | 0.5867 |
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+ | No log | 42.86 | 225 | 0.3408 | 0.6133 |
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+ | No log | 44.0 | 231 | 0.3350 | 0.6 |
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+ | No log | 44.95 | 236 | 0.3832 | 0.72 |
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+ | No log | 45.9 | 241 | 0.3298 | 0.6667 |
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+ | No log | 46.86 | 246 | 0.3557 | 0.64 |
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+ | No log | 48.0 | 252 | 0.3832 | 0.64 |
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+ | No log | 48.95 | 257 | 0.3317 | 0.6533 |
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+ | No log | 49.9 | 262 | 0.3980 | 0.6933 |
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+ | No log | 50.86 | 267 | 0.3295 | 0.6533 |
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  ### Framework versions
pytorch_model.bin CHANGED
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