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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: openai/clip-vit-large-patch14-336
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: clip-finetuned-csu-p14-336-e3l57-l
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # clip-finetuned-csu-p14-336-e3l57-l
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+
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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: 0.2831
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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+ - train_batch_size: 256
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.3448 | 0.0921 | 500 | 1.0839 |
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+ | 0.2708 | 0.1842 | 1000 | 0.8948 |
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+ | 0.177 | 0.2763 | 1500 | 0.8396 |
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+ | 0.1831 | 0.3685 | 2000 | 0.7721 |
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+ | 0.2038 | 0.4606 | 2500 | 0.7446 |
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+ | 0.1309 | 0.5527 | 3000 | 0.7235 |
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+ | 0.1431 | 0.6448 | 3500 | 0.6691 |
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+ | 0.1411 | 0.7369 | 4000 | 0.6437 |
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+ | 0.0849 | 0.8290 | 4500 | 0.4805 |
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+ | 0.1026 | 0.9211 | 5000 | 0.4800 |
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+ | 0.1201 | 1.0133 | 5500 | 0.4810 |
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+ | 0.0757 | 1.1054 | 6000 | 0.4692 |
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+ | 0.0696 | 1.1975 | 6500 | 0.4764 |
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+ | 0.0911 | 1.2896 | 7000 | 0.4601 |
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+ | 0.0806 | 1.3817 | 7500 | 0.4590 |
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+ | 0.088 | 1.4738 | 8000 | 0.4654 |
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+ | 0.0878 | 1.5660 | 8500 | 0.4769 |
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+ | 0.0369 | 1.6581 | 9000 | 0.4684 |
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+ | 0.1034 | 1.7502 | 9500 | 0.4716 |
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+ | 0.0852 | 1.8423 | 10000 | 0.4720 |
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+ | 0.0493 | 1.9344 | 10500 | 0.4714 |
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+ | 0.0603 | 2.0265 | 11000 | 0.4661 |
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+ | 0.0547 | 2.1186 | 11500 | 0.4669 |
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+ | 0.0793 | 2.2108 | 12000 | 0.4664 |
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+ | 0.0415 | 2.3024 | 12500 | 0.2888 |
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+ | 0.0565 | 2.3945 | 13000 | 0.2910 |
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+ | 0.0629 | 2.4866 | 13500 | 0.2889 |
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+ | 0.0584 | 2.5787 | 14000 | 0.2874 |
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+ | 0.0582 | 2.6708 | 14500 | 0.2863 |
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+ | 0.052 | 2.7629 | 15000 | 0.2846 |
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+ | 0.0402 | 2.8550 | 15500 | 0.2835 |
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+ | 0.0518 | 2.9471 | 16000 | 0.2831 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 1.12.1
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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