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clip-finetuned-csu-p14-336-e3l58-l

Zero-Shot Image Classification
Transformers
TensorBoard
Safetensors
clip
Generated from Trainer
Inference Endpoints
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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-e3l58-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-e3l58-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: 0.9259
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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-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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+ - 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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+ | 0.3758 | 0.0921 | 500 | 1.4188 |
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+ | 0.4108 | 0.1842 | 1000 | 1.3514 |
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+ | 0.4335 | 0.2763 | 1500 | 1.2895 |
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+ | 0.3436 | 0.3685 | 2000 | 1.2415 |
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+ | 0.366 | 0.4606 | 2500 | 1.1949 |
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+ | 0.3191 | 0.5527 | 3000 | 1.1560 |
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+ | 0.2779 | 0.6448 | 3500 | 1.1234 |
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+ | 0.2942 | 0.7369 | 4000 | 1.0993 |
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+ | 0.2615 | 0.8290 | 4500 | 1.0805 |
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+ | 0.2715 | 0.9211 | 5000 | 1.0615 |
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+ | 0.2509 | 1.0133 | 5500 | 1.0462 |
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+ | 0.2653 | 1.1054 | 6000 | 1.0306 |
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+ | 0.2199 | 1.1975 | 6500 | 1.0183 |
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+ | 0.1844 | 1.2896 | 7000 | 1.0079 |
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+ | 0.2143 | 1.3817 | 7500 | 0.9970 |
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+ | 0.2011 | 1.4738 | 8000 | 0.9887 |
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+ | 0.1995 | 1.5660 | 8500 | 0.9807 |
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+ | 0.2493 | 1.6581 | 9000 | 0.9733 |
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+ | 0.2192 | 1.7502 | 9500 | 0.9669 |
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+ | 0.1882 | 1.8423 | 10000 | 0.9616 |
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+ | 0.2193 | 1.9344 | 10500 | 0.9551 |
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+ | 0.2148 | 2.0265 | 11000 | 0.9495 |
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+ | 0.1975 | 2.1186 | 11500 | 0.9449 |
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+ | 0.1791 | 2.2108 | 12000 | 0.9409 |
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+ | 0.2057 | 2.3029 | 12500 | 0.9382 |
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+ | 0.2037 | 2.3950 | 13000 | 0.9352 |
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+ | 0.2011 | 2.4871 | 13500 | 0.9318 |
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+ | 0.1551 | 2.5792 | 14000 | 0.9295 |
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+ | 0.1565 | 2.6713 | 14500 | 0.9279 |
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+ | 0.1963 | 2.7634 | 15000 | 0.9268 |
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+ | 0.1823 | 2.8556 | 15500 | 0.9262 |
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+ | 0.1854 | 2.9477 | 16000 | 0.9259 |
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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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