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hushem_40x_deit_tiny_sgd_00001_fold4

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
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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: facebook/deit-tiny-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: hushem_40x_deit_tiny_sgd_00001_fold4
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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: 0.14285714285714285
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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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+ # hushem_40x_deit_tiny_sgd_00001_fold4
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+
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+ This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5700
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+ - Accuracy: 0.1429
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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: 1e-05
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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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+ | 1.5195 | 1.0 | 219 | 1.6573 | 0.1429 |
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+ | 1.4299 | 2.0 | 438 | 1.6538 | 0.1429 |
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+ | 1.5002 | 3.0 | 657 | 1.6502 | 0.1429 |
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+ | 1.4923 | 4.0 | 876 | 1.6467 | 0.1429 |
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+ | 1.4507 | 5.0 | 1095 | 1.6433 | 0.1667 |
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+ | 1.4843 | 6.0 | 1314 | 1.6398 | 0.1667 |
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+ | 1.4439 | 7.0 | 1533 | 1.6365 | 0.1667 |
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+ | 1.461 | 8.0 | 1752 | 1.6332 | 0.1667 |
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+ | 1.4438 | 9.0 | 1971 | 1.6299 | 0.1667 |
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+ | 1.421 | 10.0 | 2190 | 1.6268 | 0.1667 |
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+ | 1.3797 | 11.0 | 2409 | 1.6238 | 0.1667 |
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+ | 1.4481 | 12.0 | 2628 | 1.6208 | 0.1429 |
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+ | 1.37 | 13.0 | 2847 | 1.6179 | 0.1429 |
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+ | 1.4257 | 14.0 | 3066 | 1.6150 | 0.1429 |
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+ | 1.3565 | 15.0 | 3285 | 1.6123 | 0.1429 |
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+ | 1.3893 | 16.0 | 3504 | 1.6097 | 0.1429 |
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+ | 1.4087 | 17.0 | 3723 | 1.6071 | 0.1429 |
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+ | 1.3822 | 18.0 | 3942 | 1.6047 | 0.1429 |
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+ | 1.3943 | 19.0 | 4161 | 1.6023 | 0.1429 |
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+ | 1.4156 | 20.0 | 4380 | 1.6000 | 0.1429 |
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+ | 1.397 | 21.0 | 4599 | 1.5977 | 0.1429 |
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+ | 1.3921 | 22.0 | 4818 | 1.5956 | 0.1429 |
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+ | 1.345 | 23.0 | 5037 | 1.5936 | 0.1429 |
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+ | 1.3941 | 24.0 | 5256 | 1.5916 | 0.1429 |
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+ | 1.3428 | 25.0 | 5475 | 1.5898 | 0.1429 |
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+ | 1.3959 | 26.0 | 5694 | 1.5880 | 0.1429 |
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+ | 1.3527 | 27.0 | 5913 | 1.5863 | 0.1429 |
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+ | 1.3622 | 28.0 | 6132 | 1.5847 | 0.1429 |
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+ | 1.3233 | 29.0 | 6351 | 1.5833 | 0.1429 |
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+ | 1.3602 | 30.0 | 6570 | 1.5819 | 0.1429 |
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+ | 1.3369 | 31.0 | 6789 | 1.5805 | 0.1429 |
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+ | 1.3891 | 32.0 | 7008 | 1.5793 | 0.1429 |
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+ | 1.3567 | 33.0 | 7227 | 1.5782 | 0.1429 |
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+ | 1.3341 | 34.0 | 7446 | 1.5771 | 0.1429 |
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+ | 1.3827 | 35.0 | 7665 | 1.5761 | 0.1429 |
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+ | 1.3365 | 36.0 | 7884 | 1.5752 | 0.1429 |
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+ | 1.3545 | 37.0 | 8103 | 1.5744 | 0.1429 |
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+ | 1.3874 | 38.0 | 8322 | 1.5736 | 0.1429 |
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+ | 1.3749 | 39.0 | 8541 | 1.5729 | 0.1429 |
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+ | 1.3026 | 40.0 | 8760 | 1.5724 | 0.1429 |
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+ | 1.3806 | 41.0 | 8979 | 1.5718 | 0.1429 |
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+ | 1.3467 | 42.0 | 9198 | 1.5714 | 0.1429 |
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+ | 1.3584 | 43.0 | 9417 | 1.5710 | 0.1429 |
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+ | 1.3511 | 44.0 | 9636 | 1.5707 | 0.1429 |
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+ | 1.3397 | 45.0 | 9855 | 1.5704 | 0.1429 |
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+ | 1.35 | 46.0 | 10074 | 1.5703 | 0.1429 |
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+ | 1.328 | 47.0 | 10293 | 1.5701 | 0.1429 |
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+ | 1.3922 | 48.0 | 10512 | 1.5700 | 0.1429 |
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+ | 1.3345 | 49.0 | 10731 | 1.5700 | 0.1429 |
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+ | 1.3302 | 50.0 | 10950 | 1.5700 | 0.1429 |
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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 2.1.1+cu121
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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