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clip-finetuned-csu-p14-336-e3l57-l

Zero-Shot Image Classification
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TensorBoard
Safetensors
clip
Generated from Trainer
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  1. README.md +57 -33
  2. runs/Aug24_08-04-25_wolf-creek/events.out.tfevents.1724508286.wolf-creek.1111624.0 +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: 0.5308
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  ## Model description
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@@ -46,38 +46,62 @@ 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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- | 0.2705 | 0.0921 | 500 | 1.0681 |
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- | 0.2545 | 0.1842 | 1000 | 0.9444 |
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- | 0.234 | 0.2763 | 1500 | 0.8769 |
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- | 0.1539 | 0.3685 | 2000 | 0.8415 |
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- | 0.1766 | 0.4606 | 2500 | 0.7660 |
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- | 0.1679 | 0.5527 | 3000 | 0.7269 |
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- | 0.1104 | 0.6448 | 3500 | 0.7098 |
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- | 0.1367 | 0.7369 | 4000 | 0.6969 |
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- | 0.1129 | 0.8290 | 4500 | 0.6777 |
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- | 0.1125 | 0.9211 | 5000 | 0.6658 |
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- | 0.1071 | 1.0133 | 5500 | 0.6465 |
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- | 0.0553 | 1.1054 | 6000 | 0.6357 |
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- | 0.0729 | 1.1975 | 6500 | 0.6284 |
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- | 0.0476 | 1.2896 | 7000 | 0.6260 |
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- | 0.0756 | 1.3817 | 7500 | 0.6102 |
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- | 0.0797 | 1.4738 | 8000 | 0.6023 |
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- | 0.0536 | 1.5660 | 8500 | 0.5879 |
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- | 0.0784 | 1.6581 | 9000 | 0.5880 |
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- | 0.0703 | 1.7502 | 9500 | 0.5665 |
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- | 0.0551 | 1.8423 | 10000 | 0.5671 |
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- | 0.0852 | 1.9344 | 10500 | 0.5695 |
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- | 0.0546 | 2.0265 | 11000 | 0.5558 |
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- | 0.0369 | 2.1186 | 11500 | 0.5533 |
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- | 0.0205 | 2.2108 | 12000 | 0.5498 |
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- | 0.0673 | 2.3029 | 12500 | 0.5446 |
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- | 0.0509 | 2.3950 | 13000 | 0.5434 |
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- | 0.0447 | 2.4871 | 13500 | 0.5404 |
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- | 0.0246 | 2.5792 | 14000 | 0.5360 |
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- | 0.0395 | 2.6713 | 14500 | 0.5335 |
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- | 0.0436 | 2.7634 | 15000 | 0.5332 |
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- | 0.0398 | 2.8556 | 15500 | 0.5320 |
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- | 0.0427 | 2.9477 | 16000 | 0.5308 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.4700
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.3812 | 0.0533 | 500 | 1.1163 |
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+ | 0.2683 | 0.1067 | 1000 | 0.9684 |
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+ | 0.2119 | 0.1600 | 1500 | 0.9100 |
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+ | 0.1889 | 0.2133 | 2000 | 0.8620 |
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+ | 0.2071 | 0.2666 | 2500 | 0.7918 |
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+ | 0.1588 | 0.3200 | 3000 | 0.7657 |
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+ | 0.1718 | 0.3733 | 3500 | 0.7610 |
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+ | 0.1113 | 0.4266 | 4000 | 0.7458 |
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+ | 0.1313 | 0.4799 | 4500 | 0.7168 |
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+ | 0.1649 | 0.5333 | 5000 | 0.7019 |
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+ | 0.1245 | 0.5866 | 5500 | 0.6812 |
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+ | 0.1286 | 0.6399 | 6000 | 0.6502 |
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+ | 0.1076 | 0.6933 | 6500 | 0.6154 |
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+ | 0.1477 | 0.7466 | 7000 | 0.6118 |
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+ | 0.1315 | 0.7999 | 7500 | 0.6016 |
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+ | 0.1413 | 0.8532 | 8000 | 0.5849 |
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+ | 0.124 | 0.9066 | 8500 | 0.5766 |
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+ | 0.1215 | 0.9599 | 9000 | 0.5559 |
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+ | 0.131 | 1.0132 | 9500 | 0.5633 |
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+ | 0.0348 | 1.0666 | 10000 | 0.5531 |
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+ | 0.0687 | 1.1199 | 10500 | 0.5495 |
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+ | 0.0749 | 1.1732 | 11000 | 0.5474 |
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+ | 0.1083 | 1.2265 | 11500 | 0.5416 |
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+ | 0.0485 | 1.2799 | 12000 | 0.5412 |
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+ | 0.0449 | 1.3332 | 12500 | 0.5511 |
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+ | 0.0847 | 1.3865 | 13000 | 0.5492 |
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+ | 0.0702 | 1.4398 | 13500 | 0.5509 |
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+ | 0.0487 | 1.4932 | 14000 | 0.5447 |
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+ | 0.072 | 1.5465 | 14500 | 0.5490 |
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+ | 0.0325 | 1.5998 | 15000 | 0.5443 |
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+ | 0.0894 | 1.6532 | 15500 | 0.5264 |
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+ | 0.0503 | 1.7065 | 16000 | 0.5209 |
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+ | 0.0568 | 1.7598 | 16500 | 0.5083 |
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+ | 0.0589 | 1.8131 | 17000 | 0.5093 |
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+ | 0.0892 | 1.8665 | 17500 | 0.4983 |
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+ | 0.0584 | 1.9198 | 18000 | 0.4886 |
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+ | 0.063 | 1.9731 | 18500 | 0.4945 |
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+ | 0.0493 | 2.0265 | 19000 | 0.4956 |
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+ | 0.0246 | 2.0798 | 19500 | 0.4871 |
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+ | 0.0385 | 2.1331 | 20000 | 0.4830 |
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+ | 0.0574 | 2.1864 | 20500 | 0.4849 |
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+ | 0.039 | 2.2398 | 21000 | 0.4872 |
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+ | 0.0653 | 2.2931 | 21500 | 0.4838 |
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+ | 0.0325 | 2.3464 | 22000 | 0.4876 |
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+ | 0.0578 | 2.3997 | 22500 | 0.4870 |
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+ | 0.039 | 2.4531 | 23000 | 0.4805 |
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+ | 0.0536 | 2.5064 | 23500 | 0.4824 |
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+ | 0.0382 | 2.5597 | 24000 | 0.4809 |
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+ | 0.0479 | 2.6131 | 24500 | 0.4749 |
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+ | 0.0268 | 2.6664 | 25000 | 0.4723 |
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+ | 0.0406 | 2.7197 | 25500 | 0.4743 |
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+ | 0.0349 | 2.7730 | 26000 | 0.4718 |
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+ | 0.017 | 2.8264 | 26500 | 0.4721 |
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+ | 0.0286 | 2.8797 | 27000 | 0.4709 |
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+ | 0.0265 | 2.9330 | 27500 | 0.4708 |
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+ | 0.0552 | 2.9863 | 28000 | 0.4700 |
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  ### Framework versions
runs/Aug24_08-04-25_wolf-creek/events.out.tfevents.1724508286.wolf-creek.1111624.0 CHANGED
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