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clip-finetuned-csu-p14-336-e4l58-l

Zero-Shot Image Classification
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clip
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  1. README.md +45 -45
  2. runs/Aug22_13-27-31_wolf-creek/events.out.tfevents.1724354855.wolf-creek.1276649.0 +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7743
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  ## Model description
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@@ -34,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1.2009578191195431e-08
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  - train_batch_size: 128
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,49 +46,49 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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- | 0.4588 | 0.0921 | 500 | 1.4195 |
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- | 0.4255 | 0.1842 | 1000 | 1.3417 |
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- | 0.3724 | 0.2763 | 1500 | 1.2873 |
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- | 0.3251 | 0.3684 | 2000 | 1.2349 |
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- | 0.3308 | 0.4605 | 2500 | 1.1945 |
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- | 0.3017 | 0.5526 | 3000 | 1.1593 |
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- | 0.2962 | 0.6447 | 3500 | 1.1259 |
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- | 0.2919 | 0.7368 | 4000 | 1.0954 |
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- | 0.307 | 0.8289 | 4500 | 1.0729 |
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- | 0.2764 | 0.9210 | 5000 | 1.0524 |
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- | 0.2456 | 1.0131 | 5500 | 1.0375 |
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- | 0.2642 | 1.1052 | 6000 | 1.0233 |
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- | 0.2066 | 1.1973 | 6500 | 1.0104 |
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- | 0.2376 | 1.2894 | 7000 | 0.9984 |
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- | 0.1931 | 1.3815 | 7500 | 0.9887 |
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- | 0.2163 | 1.4736 | 8000 | 0.9767 |
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- | 0.1903 | 1.5657 | 8500 | 0.9665 |
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- | 0.2069 | 1.6578 | 9000 | 0.9572 |
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- | 0.2093 | 1.7499 | 9500 | 0.9497 |
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- | 0.2523 | 1.8420 | 10000 | 0.9420 |
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- | 0.2127 | 1.9341 | 10500 | 0.9329 |
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- | 0.1968 | 2.0262 | 11000 | 0.9270 |
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- | 0.1879 | 2.1183 | 11500 | 0.9231 |
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- | 0.1981 | 2.2104 | 12000 | 0.9184 |
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- | 0.1964 | 2.3024 | 12500 | 0.9135 |
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- | 0.1697 | 2.3945 | 13000 | 0.9100 |
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- | 0.2015 | 2.4866 | 13500 | 0.9052 |
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- | 0.1827 | 2.5787 | 14000 | 0.9026 |
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- | 0.1435 | 2.6708 | 14500 | 0.8998 |
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- | 0.1541 | 2.7629 | 15000 | 0.8963 |
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- | 0.1716 | 2.8550 | 15500 | 0.8935 |
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- | 0.2056 | 2.9471 | 16000 | 0.8905 |
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- | 0.1843 | 3.0392 | 16500 | 0.8875 |
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- | 0.1611 | 3.1313 | 17000 | 0.8858 |
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- | 0.1568 | 3.2240 | 17500 | 0.7821 |
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- | 0.1395 | 3.3161 | 18000 | 0.7794 |
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- | 0.1804 | 3.4083 | 18500 | 0.7778 |
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- | 0.1728 | 3.5004 | 19000 | 0.7769 |
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- | 0.179 | 3.5925 | 19500 | 0.7758 |
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- | 0.179 | 3.6846 | 20000 | 0.7752 |
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- | 0.1454 | 3.7767 | 20500 | 0.7747 |
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- | 0.1568 | 3.8688 | 21000 | 0.7744 |
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- | 0.1663 | 3.9609 | 21500 | 0.7743 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8656
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-08
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  - train_batch_size: 128
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.3758 | 0.0921 | 500 | 1.4185 |
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+ | 0.4103 | 0.1842 | 1000 | 1.3501 |
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+ | 0.433 | 0.2763 | 1500 | 1.2885 |
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+ | 0.3424 | 0.3685 | 2000 | 1.2391 |
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+ | 0.3645 | 0.4606 | 2500 | 1.1902 |
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+ | 0.3172 | 0.5527 | 3000 | 1.1506 |
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+ | 0.2751 | 0.6448 | 3500 | 1.1169 |
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+ | 0.2919 | 0.7369 | 4000 | 1.0921 |
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+ | 0.2583 | 0.8290 | 4500 | 1.0721 |
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+ | 0.2679 | 0.9211 | 5000 | 1.0519 |
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+ | 0.2472 | 1.0133 | 5500 | 1.0356 |
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+ | 0.26 | 1.1054 | 6000 | 1.0177 |
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+ | 0.2153 | 1.1975 | 6500 | 1.0045 |
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+ | 0.1791 | 1.2896 | 7000 | 0.9927 |
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+ | 0.2082 | 1.3817 | 7500 | 0.9804 |
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+ | 0.196 | 1.4738 | 8000 | 0.9712 |
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+ | 0.1946 | 1.5660 | 8500 | 0.9621 |
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+ | 0.2422 | 1.6581 | 9000 | 0.9537 |
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+ | 0.2106 | 1.7502 | 9500 | 0.9458 |
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+ | 0.1801 | 1.8423 | 10000 | 0.9393 |
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+ | 0.2117 | 1.9344 | 10500 | 0.9308 |
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+ | 0.2061 | 2.0265 | 11000 | 0.9237 |
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+ | 0.1878 | 2.1186 | 11500 | 0.9167 |
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+ | 0.1655 | 2.2108 | 12000 | 0.9109 |
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+ | 0.1946 | 2.3029 | 12500 | 0.9071 |
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+ | 0.1882 | 2.3950 | 13000 | 0.9021 |
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+ | 0.1871 | 2.4871 | 13500 | 0.8960 |
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+ | 0.1419 | 2.5792 | 14000 | 0.8913 |
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+ | 0.1431 | 2.6713 | 14500 | 0.8879 |
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+ | 0.1811 | 2.7634 | 15000 | 0.8848 |
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+ | 0.1694 | 2.8556 | 15500 | 0.8827 |
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+ | 0.1718 | 2.9477 | 16000 | 0.8798 |
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+ | 0.153 | 3.0398 | 16500 | 0.8777 |
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+ | 0.1715 | 3.1319 | 17000 | 0.8759 |
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+ | 0.1558 | 3.2240 | 17500 | 0.8742 |
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+ | 0.1384 | 3.3161 | 18000 | 0.8715 |
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+ | 0.1788 | 3.4083 | 18500 | 0.8695 |
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+ | 0.1668 | 3.5004 | 19000 | 0.8685 |
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+ | 0.1697 | 3.5925 | 19500 | 0.8674 |
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+ | 0.1764 | 3.6846 | 20000 | 0.8666 |
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+ | 0.1417 | 3.7767 | 20500 | 0.8660 |
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+ | 0.1556 | 3.8688 | 21000 | 0.8657 |
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+ | 0.1605 | 3.9609 | 21500 | 0.8656 |
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  ### Framework versions
runs/Aug22_13-27-31_wolf-creek/events.out.tfevents.1724354855.wolf-creek.1276649.0 CHANGED
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