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Model save

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README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -28,9 +29,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # document-crop
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- This model was trained from scratch on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2057
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  - Accuracy: 0.9341
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  ## Model description
@@ -59,32 +60,99 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 20
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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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- | No log | 0.9655 | 7 | 0.3032 | 0.9121 |
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- | No log | 1.9310 | 14 | 0.3624 | 0.8242 |
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- | 0.48 | 2.8966 | 21 | 0.3741 | 0.8352 |
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- | 0.48 | 4.0 | 29 | 0.2343 | 0.8901 |
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- | 0.3749 | 4.9655 | 36 | 0.2027 | 0.9121 |
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- | 0.3749 | 5.9310 | 43 | 0.1904 | 0.9451 |
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- | 0.2323 | 6.8966 | 50 | 0.1959 | 0.9121 |
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- | 0.2323 | 8.0 | 58 | 0.2905 | 0.8901 |
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- | 0.1447 | 8.9655 | 65 | 0.3999 | 0.9011 |
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- | 0.1447 | 9.9310 | 72 | 0.1072 | 0.9670 |
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- | 0.125 | 10.8966 | 79 | 0.2654 | 0.9011 |
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- | 0.125 | 12.0 | 87 | 0.1799 | 0.9451 |
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- | 0.1979 | 12.9655 | 94 | 0.2546 | 0.9121 |
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- | 0.1979 | 13.9310 | 101 | 0.2576 | 0.9011 |
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- | 0.0633 | 14.8966 | 108 | 0.1996 | 0.9341 |
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- | 0.0633 | 16.0 | 116 | 0.1824 | 0.9560 |
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- | 0.0311 | 16.9655 | 123 | 0.1834 | 0.9560 |
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- | 0.0311 | 17.9310 | 130 | 0.2770 | 0.9231 |
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- | 0.0154 | 18.8966 | 137 | 0.2113 | 0.9451 |
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- | 0.0154 | 19.3103 | 140 | 0.2057 | 0.9341 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ base_model: openai/clip-vit-base-patch32
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # document-crop
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+ This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6767
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  - Accuracy: 0.9341
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  ## Model description
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 250
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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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+ | 0.7118 | 2.7586 | 20 | 0.6585 | 0.5604 |
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+ | 0.4606 | 5.5172 | 40 | 0.4991 | 0.7033 |
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+ | 0.2723 | 8.2759 | 60 | 0.4650 | 0.8242 |
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+ | 0.2779 | 11.0345 | 80 | 0.6806 | 0.6813 |
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+ | 0.1976 | 13.7931 | 100 | 0.2763 | 0.9011 |
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+ | 0.1627 | 16.5517 | 120 | 0.2784 | 0.8681 |
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+ | 0.1635 | 19.3103 | 140 | 1.1550 | 0.6703 |
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+ | 0.1673 | 22.0690 | 160 | 0.6895 | 0.8132 |
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+ | 0.1355 | 24.8276 | 180 | 0.3650 | 0.8462 |
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+ | 0.2017 | 27.5862 | 200 | 0.3636 | 0.8791 |
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+ | 0.1275 | 30.3448 | 220 | 0.5203 | 0.8352 |
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+ | 0.1557 | 33.1034 | 240 | 0.6500 | 0.7912 |
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+ | 0.0998 | 35.8621 | 260 | 0.6369 | 0.8022 |
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+ | 0.1012 | 38.6207 | 280 | 0.8133 | 0.7912 |
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+ | 0.1125 | 41.3793 | 300 | 0.2806 | 0.9011 |
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+ | 0.0803 | 44.1379 | 320 | 0.6901 | 0.8462 |
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+ | 0.1268 | 46.8966 | 340 | 0.2991 | 0.9011 |
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+ | 0.123 | 49.6552 | 360 | 0.3569 | 0.8571 |
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+ | 0.0556 | 52.4138 | 380 | 0.3483 | 0.9231 |
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+ | 0.1245 | 55.1724 | 400 | 0.4492 | 0.8681 |
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+ | 0.051 | 57.9310 | 420 | 0.8892 | 0.7912 |
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+ | 0.0378 | 60.6897 | 440 | 0.8956 | 0.8022 |
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+ | 0.1009 | 63.4483 | 460 | 0.3829 | 0.8681 |
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+ | 0.0333 | 66.2069 | 480 | 1.6220 | 0.7692 |
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+ | 0.093 | 68.9655 | 500 | 0.6725 | 0.8352 |
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+ | 0.0437 | 71.7241 | 520 | 0.5194 | 0.8791 |
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+ | 0.0578 | 74.4828 | 540 | 0.9445 | 0.7912 |
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+ | 0.0619 | 77.2414 | 560 | 0.5901 | 0.8571 |
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+ | 0.0436 | 80.0 | 580 | 1.0225 | 0.8352 |
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+ | 0.0337 | 82.7586 | 600 | 0.7013 | 0.8462 |
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+ | 0.0212 | 85.5172 | 620 | 0.4292 | 0.9121 |
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+ | 0.0113 | 88.2759 | 640 | 1.7661 | 0.7802 |
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+ | 0.0863 | 91.0345 | 660 | 0.9848 | 0.8462 |
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+ | 0.0222 | 93.7931 | 680 | 0.8063 | 0.8462 |
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+ | 0.0329 | 96.5517 | 700 | 0.7059 | 0.9011 |
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+ | 0.01 | 99.3103 | 720 | 1.5658 | 0.8022 |
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+ | 0.0215 | 102.0690 | 740 | 0.4951 | 0.8901 |
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+ | 0.0212 | 104.8276 | 760 | 0.9585 | 0.8791 |
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+ | 0.0312 | 107.5862 | 780 | 0.7420 | 0.8571 |
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+ | 0.0068 | 110.3448 | 800 | 0.7328 | 0.9011 |
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+ | 0.0058 | 113.1034 | 820 | 0.6573 | 0.9121 |
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+ | 0.0096 | 115.8621 | 840 | 0.8204 | 0.8791 |
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+ | 0.009 | 118.6207 | 860 | 1.2558 | 0.8462 |
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+ | 0.0414 | 121.3793 | 880 | 0.9440 | 0.8901 |
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+ | 0.0152 | 124.1379 | 900 | 0.7497 | 0.8571 |
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+ | 0.0471 | 126.8966 | 920 | 0.4832 | 0.8681 |
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+ | 0.0042 | 129.6552 | 940 | 1.1680 | 0.8681 |
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+ | 0.017 | 132.4138 | 960 | 1.0996 | 0.8681 |
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+ | 0.0104 | 135.1724 | 980 | 1.1694 | 0.8791 |
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+ | 0.014 | 137.9310 | 1000 | 1.3565 | 0.8462 |
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+ | 0.011 | 140.6897 | 1020 | 0.6044 | 0.9121 |
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+ | 0.0117 | 143.4483 | 1040 | 0.6891 | 0.9121 |
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+ | 0.0012 | 146.2069 | 1060 | 0.7026 | 0.9231 |
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+ | 0.0002 | 148.9655 | 1080 | 0.6718 | 0.9231 |
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+ | 0.0023 | 151.7241 | 1100 | 0.5130 | 0.9231 |
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+ | 0.0052 | 154.4828 | 1120 | 0.8910 | 0.8901 |
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+ | 0.0086 | 157.2414 | 1140 | 0.6915 | 0.9011 |
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+ | 0.0008 | 160.0 | 1160 | 0.7211 | 0.9231 |
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+ | 0.0108 | 162.7586 | 1180 | 0.9529 | 0.8681 |
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+ | 0.0 | 165.5172 | 1200 | 0.7049 | 0.9121 |
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+ | 0.0 | 168.2759 | 1220 | 0.6871 | 0.9011 |
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+ | 0.0 | 171.0345 | 1240 | 0.6877 | 0.9121 |
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+ | 0.0 | 173.7931 | 1260 | 0.6828 | 0.9231 |
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+ | 0.0026 | 176.5517 | 1280 | 0.6791 | 0.9231 |
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+ | 0.0042 | 179.3103 | 1300 | 0.6724 | 0.9341 |
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+ | 0.0 | 182.0690 | 1320 | 0.7377 | 0.9011 |
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+ | 0.0 | 184.8276 | 1340 | 0.7790 | 0.9011 |
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+ | 0.0 | 187.5862 | 1360 | 0.7846 | 0.9011 |
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+ | 0.0 | 190.3448 | 1380 | 0.7877 | 0.9011 |
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+ | 0.0 | 193.1034 | 1400 | 0.7852 | 0.9011 |
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+ | 0.0 | 195.8621 | 1420 | 0.7577 | 0.9011 |
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+ | 0.0 | 198.6207 | 1440 | 0.7540 | 0.9011 |
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+ | 0.0 | 201.3793 | 1460 | 0.7573 | 0.9011 |
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+ | 0.0 | 204.1379 | 1480 | 0.6999 | 0.9011 |
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+ | 0.0 | 206.8966 | 1500 | 0.6745 | 0.9341 |
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+ | 0.0 | 209.6552 | 1520 | 0.6740 | 0.9341 |
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+ | 0.0 | 212.4138 | 1540 | 0.6745 | 0.9341 |
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+ | 0.0 | 215.1724 | 1560 | 0.6792 | 0.9341 |
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+ | 0.0 | 217.9310 | 1580 | 0.6757 | 0.9341 |
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+ | 0.0 | 220.6897 | 1600 | 0.6750 | 0.9341 |
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+ | 0.0 | 223.4483 | 1620 | 0.6751 | 0.9341 |
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+ | 0.0 | 226.2069 | 1640 | 0.6753 | 0.9341 |
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+ | 0.0 | 228.9655 | 1660 | 0.6755 | 0.9341 |
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+ | 0.0 | 231.7241 | 1680 | 0.6756 | 0.9341 |
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+ | 0.0 | 234.4828 | 1700 | 0.6763 | 0.9341 |
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+ | 0.0 | 237.2414 | 1720 | 0.6767 | 0.9341 |
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+ | 0.0 | 240.0 | 1740 | 0.6767 | 0.9341 |
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  ### Framework versions
runs/Jul24_14-29-06_gurame007/events.out.tfevents.1721806147.gurame007.13963.0 CHANGED
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