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clip-finetuned-csu-p14-336-e2l57-l

Zero-Shot Image Classification
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TensorBoard
Safetensors
clip
Generated from Trainer
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  1. README.md +77 -0
  2. model.safetensors +1 -1
  3. runs/Aug22_23-28-25_wolf-creek/events.out.tfevents.1724390927.wolf-creek.2426405.0 +2 -2
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-e2l57-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-e2l57-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: 2.0149
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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-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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+ - 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: 2.0
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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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+ | 0.7207 | 0.0921 | 500 | 2.0785 |
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+ | 0.702 | 0.1842 | 1000 | 2.0786 |
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+ | 0.7058 | 0.2763 | 1500 | 2.0656 |
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+ | 0.7117 | 0.3685 | 2000 | 2.1134 |
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+ | 0.7163 | 0.4606 | 2500 | 2.0307 |
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+ | 0.6794 | 0.5527 | 3000 | 2.6134 |
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+ | 0.6818 | 0.6448 | 3500 | 2.0862 |
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+ | 0.6693 | 0.7369 | 4000 | 2.0295 |
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+ | 0.6798 | 0.8290 | 4500 | 2.1399 |
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+ | 0.6915 | 0.9211 | 5000 | 2.0116 |
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+ | 0.6623 | 1.0133 | 5500 | 2.1612 |
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+ | 0.6803 | 1.1054 | 6000 | 2.0493 |
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+ | 0.6729 | 1.1975 | 6500 | 2.0518 |
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+ | 0.6851 | 1.2896 | 7000 | 2.0391 |
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+ | 0.6686 | 1.3817 | 7500 | 2.0697 |
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+ | 0.6637 | 1.4738 | 8000 | 2.0457 |
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+ | 0.6331 | 1.5660 | 8500 | 2.1388 |
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+ | 0.6529 | 1.6581 | 9000 | 2.0182 |
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+ | 0.6377 | 1.7502 | 9500 | 2.0096 |
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+ | 0.6207 | 1.8423 | 10000 | 2.0490 |
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+ | 0.6626 | 1.9344 | 10500 | 2.0149 |
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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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