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kevinoli
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clip-finetuned-csu-p14-336-e3l55-l

Zero-Shot Image Classification
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Safetensors
clip
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  1. README.md +34 -34
  2. model.safetensors +1 -1
  3. runs/Aug22_19-57-06_winter-park/events.out.tfevents.1724378248.winter-park.3947668.0 +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: 1.9056
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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: 8.810707926567202e-07
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  - train_batch_size: 128
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,38 +46,38 @@ 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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- | 0.7336 | 0.0921 | 500 | 2.0781 |
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- | 0.6953 | 0.1842 | 1000 | 2.0783 |
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- | 0.6953 | 0.2763 | 1500 | 2.0777 |
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- | 0.6932 | 0.3684 | 2000 | 2.0722 |
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- | 0.6907 | 0.4605 | 2500 | 2.0792 |
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- | 0.7043 | 0.5526 | 3000 | 2.0205 |
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- | 0.7078 | 0.6447 | 3500 | 2.1256 |
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- | 0.7034 | 0.7368 | 4000 | 2.0000 |
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- | 0.6671 | 0.8289 | 4500 | 2.1608 |
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- | 0.6899 | 0.9210 | 5000 | 2.0940 |
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- | 0.6649 | 1.0131 | 5500 | 1.9776 |
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- | 0.6748 | 1.1052 | 6000 | 1.9852 |
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- | 0.6456 | 1.1973 | 6500 | 1.9981 |
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- | 0.6514 | 1.2894 | 7000 | 1.9637 |
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- | 0.6179 | 1.3815 | 7500 | 2.0034 |
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- | 0.6561 | 1.4736 | 8000 | 2.2865 |
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- | 0.6328 | 1.5657 | 8500 | 2.4808 |
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- | 0.7053 | 1.6578 | 9000 | 2.1610 |
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- | 0.6533 | 1.7499 | 9500 | 1.9845 |
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- | 0.6594 | 1.8420 | 10000 | 1.9895 |
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- | 0.6597 | 1.9341 | 10500 | 2.0103 |
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- | 0.6435 | 2.0262 | 11000 | 2.0589 |
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- | 0.6404 | 2.1183 | 11500 | 2.0517 |
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- | 0.6348 | 2.2104 | 12000 | 1.9749 |
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- | 0.6545 | 2.3024 | 12500 | 1.9681 |
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- | 0.6323 | 2.3945 | 13000 | 1.9056 |
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- | 0.6045 | 2.4866 | 13500 | 1.9470 |
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- | 0.6492 | 2.5787 | 14000 | 2.0177 |
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- | 0.6512 | 2.6708 | 14500 | 1.9483 |
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- | 0.6382 | 2.7629 | 15000 | 1.9499 |
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- | 0.6203 | 2.8550 | 15500 | 1.9529 |
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- | 0.6241 | 2.9471 | 16000 | 1.9817 |
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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: 2.0670
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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-05
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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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+ | 0.7076 | 0.0921 | 500 | 2.0787 |
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+ | 0.7045 | 0.1842 | 1000 | 2.0783 |
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+ | 0.7106 | 0.2763 | 1500 | 2.0474 |
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+ | 0.704 | 0.3685 | 2000 | 2.2816 |
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+ | 0.6996 | 0.4606 | 2500 | 2.0450 |
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+ | 0.6739 | 0.5527 | 3000 | 2.0969 |
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+ | 0.6687 | 0.6448 | 3500 | 2.0315 |
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+ | 0.8387 | 0.7369 | 4000 | 2.3810 |
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+ | 0.6988 | 0.8290 | 4500 | 2.0409 |
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+ | 0.6808 | 0.9211 | 5000 | 1.9745 |
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+ | 0.6584 | 1.0133 | 5500 | 1.9649 |
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+ | 0.6567 | 1.1054 | 6000 | 2.0569 |
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+ | 0.6542 | 1.1975 | 6500 | 1.9789 |
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+ | 0.6536 | 1.2896 | 7000 | 1.9676 |
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+ | 0.637 | 1.3817 | 7500 | 2.0040 |
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+ | 0.6409 | 1.4738 | 8000 | 1.9905 |
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+ | 0.6127 | 1.5660 | 8500 | 2.2639 |
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+ | 0.6564 | 1.6581 | 9000 | 1.9574 |
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+ | 0.6813 | 1.7502 | 9500 | 2.0365 |
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+ | 0.6421 | 1.8423 | 10000 | 2.2432 |
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+ | 0.6531 | 1.9344 | 10500 | 1.9985 |
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+ | 0.6388 | 2.0265 | 11000 | 1.9725 |
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+ | 0.6394 | 2.1186 | 11500 | 2.0171 |
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+ | 0.6151 | 2.2108 | 12000 | 1.9587 |
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+ | 0.5947 | 2.3029 | 12500 | 2.0684 |
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+ | 0.6166 | 2.3950 | 13000 | 2.0580 |
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+ | 0.6382 | 2.4871 | 13500 | 2.0209 |
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+ | 0.5949 | 2.5792 | 14000 | 2.0776 |
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+ | 0.6282 | 2.6713 | 14500 | 2.0721 |
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+ | 0.6057 | 2.7634 | 15000 | 2.0813 |
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+ | 0.6229 | 2.8556 | 15500 | 2.0468 |
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+ | 0.612 | 2.9477 | 16000 | 2.0670 |
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  ### Framework versions
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