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smids_5x_beit_base_sgd_001_fold1

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/beit-base-patch16-224
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: smids_5x_beit_base_sgd_001_fold1
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: imagefolder
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+ type: imagefolder
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8914858096828047
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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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+ # smids_5x_beit_base_sgd_001_fold1
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+
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+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2771
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+ - Accuracy: 0.8915
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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: 0.001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.7737 | 1.0 | 376 | 1.0623 | 0.3957 |
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+ | 0.6499 | 2.0 | 752 | 0.5904 | 0.7679 |
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+ | 0.5039 | 3.0 | 1128 | 0.4948 | 0.8114 |
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+ | 0.4425 | 4.0 | 1504 | 0.4355 | 0.8314 |
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+ | 0.4117 | 5.0 | 1880 | 0.4034 | 0.8381 |
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+ | 0.3506 | 6.0 | 2256 | 0.3735 | 0.8497 |
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+ | 0.3184 | 7.0 | 2632 | 0.3579 | 0.8614 |
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+ | 0.3583 | 8.0 | 3008 | 0.3422 | 0.8664 |
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+ | 0.3344 | 9.0 | 3384 | 0.3340 | 0.8765 |
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+ | 0.3048 | 10.0 | 3760 | 0.3243 | 0.8731 |
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+ | 0.3275 | 11.0 | 4136 | 0.3128 | 0.8815 |
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+ | 0.2663 | 12.0 | 4512 | 0.3111 | 0.8765 |
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+ | 0.2691 | 13.0 | 4888 | 0.3046 | 0.8815 |
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+ | 0.2761 | 14.0 | 5264 | 0.3135 | 0.8715 |
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+ | 0.3203 | 15.0 | 5640 | 0.2998 | 0.8831 |
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+ | 0.2245 | 16.0 | 6016 | 0.2963 | 0.8881 |
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+ | 0.2282 | 17.0 | 6392 | 0.2992 | 0.8881 |
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+ | 0.3086 | 18.0 | 6768 | 0.2841 | 0.8881 |
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+ | 0.2882 | 19.0 | 7144 | 0.2985 | 0.8831 |
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+ | 0.2358 | 20.0 | 7520 | 0.2906 | 0.8898 |
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+ | 0.25 | 21.0 | 7896 | 0.2925 | 0.8848 |
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+ | 0.2381 | 22.0 | 8272 | 0.2832 | 0.8915 |
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+ | 0.2558 | 23.0 | 8648 | 0.2829 | 0.8898 |
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+ | 0.2316 | 24.0 | 9024 | 0.2855 | 0.8865 |
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+ | 0.2594 | 25.0 | 9400 | 0.2808 | 0.8915 |
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+ | 0.2312 | 26.0 | 9776 | 0.2815 | 0.8915 |
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+ | 0.1664 | 27.0 | 10152 | 0.2829 | 0.8865 |
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+ | 0.2051 | 28.0 | 10528 | 0.2875 | 0.8815 |
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+ | 0.229 | 29.0 | 10904 | 0.2816 | 0.8881 |
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+ | 0.1761 | 30.0 | 11280 | 0.2816 | 0.8915 |
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+ | 0.2039 | 31.0 | 11656 | 0.2802 | 0.8965 |
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+ | 0.2453 | 32.0 | 12032 | 0.2762 | 0.8965 |
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+ | 0.186 | 33.0 | 12408 | 0.2762 | 0.8965 |
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+ | 0.1739 | 34.0 | 12784 | 0.2763 | 0.8948 |
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+ | 0.1942 | 35.0 | 13160 | 0.2781 | 0.8898 |
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+ | 0.2172 | 36.0 | 13536 | 0.2768 | 0.8898 |
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+ | 0.1982 | 37.0 | 13912 | 0.2760 | 0.8965 |
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+ | 0.2031 | 38.0 | 14288 | 0.2780 | 0.8881 |
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+ | 0.2045 | 39.0 | 14664 | 0.2746 | 0.8948 |
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+ | 0.1936 | 40.0 | 15040 | 0.2754 | 0.8998 |
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+ | 0.2051 | 41.0 | 15416 | 0.2792 | 0.8948 |
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+ | 0.2059 | 42.0 | 15792 | 0.2787 | 0.8932 |
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+ | 0.2037 | 43.0 | 16168 | 0.2780 | 0.8932 |
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+ | 0.2183 | 44.0 | 16544 | 0.2796 | 0.8898 |
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+ | 0.1934 | 45.0 | 16920 | 0.2779 | 0.8965 |
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+ | 0.2385 | 46.0 | 17296 | 0.2770 | 0.8915 |
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+ | 0.1872 | 47.0 | 17672 | 0.2768 | 0.8948 |
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+ | 0.1967 | 48.0 | 18048 | 0.2773 | 0.8898 |
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+ | 0.1829 | 49.0 | 18424 | 0.2770 | 0.8932 |
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+ | 0.1506 | 50.0 | 18800 | 0.2771 | 0.8915 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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