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hushem_40x_deit_base_sgd_0001_fold2

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-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: hushem_40x_deit_base_sgd_0001_fold2
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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: 0.3333333333333333
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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_base_sgd_0001_fold2
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+
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+ This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-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: 1.2543
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+ - Accuracy: 0.3333
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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: 0.0001
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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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+ | 1.3992 | 1.0 | 215 | 1.3998 | 0.2667 |
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+ | 1.3515 | 2.0 | 430 | 1.3921 | 0.3111 |
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+ | 1.3529 | 3.0 | 645 | 1.3851 | 0.3111 |
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+ | 1.3241 | 4.0 | 860 | 1.3787 | 0.3111 |
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+ | 1.3174 | 5.0 | 1075 | 1.3730 | 0.3333 |
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+ | 1.331 | 6.0 | 1290 | 1.3675 | 0.3333 |
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+ | 1.3242 | 7.0 | 1505 | 1.3623 | 0.3333 |
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+ | 1.2565 | 8.0 | 1720 | 1.3574 | 0.3111 |
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+ | 1.2719 | 9.0 | 1935 | 1.3525 | 0.3333 |
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+ | 1.2647 | 10.0 | 2150 | 1.3477 | 0.3333 |
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+ | 1.2293 | 11.0 | 2365 | 1.3430 | 0.3556 |
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+ | 1.1981 | 12.0 | 2580 | 1.3386 | 0.3556 |
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+ | 1.2258 | 13.0 | 2795 | 1.3342 | 0.3556 |
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+ | 1.1901 | 14.0 | 3010 | 1.3299 | 0.3111 |
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+ | 1.1988 | 15.0 | 3225 | 1.3257 | 0.3333 |
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+ | 1.2048 | 16.0 | 3440 | 1.3214 | 0.3333 |
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+ | 1.1848 | 17.0 | 3655 | 1.3173 | 0.3333 |
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+ | 1.1799 | 18.0 | 3870 | 1.3134 | 0.3333 |
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+ | 1.1629 | 19.0 | 4085 | 1.3095 | 0.3333 |
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+ | 1.1482 | 20.0 | 4300 | 1.3058 | 0.3333 |
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+ | 1.1478 | 21.0 | 4515 | 1.3022 | 0.3333 |
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+ | 1.1472 | 22.0 | 4730 | 1.2988 | 0.3333 |
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+ | 1.1143 | 23.0 | 4945 | 1.2955 | 0.3333 |
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+ | 1.1122 | 24.0 | 5160 | 1.2923 | 0.3333 |
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+ | 1.1 | 25.0 | 5375 | 1.2893 | 0.3111 |
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+ | 1.1089 | 26.0 | 5590 | 1.2864 | 0.3111 |
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+ | 1.1001 | 27.0 | 5805 | 1.2836 | 0.3333 |
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+ | 1.0858 | 28.0 | 6020 | 1.2810 | 0.3333 |
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+ | 1.093 | 29.0 | 6235 | 1.2786 | 0.3333 |
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+ | 1.081 | 30.0 | 6450 | 1.2761 | 0.3333 |
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+ | 1.0426 | 31.0 | 6665 | 1.2739 | 0.3333 |
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+ | 1.0757 | 32.0 | 6880 | 1.2718 | 0.3333 |
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+ | 1.0524 | 33.0 | 7095 | 1.2698 | 0.3333 |
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+ | 1.0725 | 34.0 | 7310 | 1.2680 | 0.3333 |
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+ | 1.055 | 35.0 | 7525 | 1.2662 | 0.3333 |
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+ | 1.0308 | 36.0 | 7740 | 1.2646 | 0.3333 |
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+ | 1.0978 | 37.0 | 7955 | 1.2631 | 0.3333 |
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+ | 1.0264 | 38.0 | 8170 | 1.2617 | 0.3333 |
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+ | 1.0508 | 39.0 | 8385 | 1.2604 | 0.3333 |
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+ | 1.0208 | 40.0 | 8600 | 1.2593 | 0.3333 |
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+ | 1.0505 | 41.0 | 8815 | 1.2583 | 0.3333 |
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+ | 1.0147 | 42.0 | 9030 | 1.2574 | 0.3333 |
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+ | 1.0355 | 43.0 | 9245 | 1.2566 | 0.3333 |
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+ | 1.0064 | 44.0 | 9460 | 1.2559 | 0.3333 |
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+ | 1.019 | 45.0 | 9675 | 1.2554 | 0.3333 |
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+ | 1.0292 | 46.0 | 9890 | 1.2549 | 0.3333 |
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+ | 1.0584 | 47.0 | 10105 | 1.2546 | 0.3333 |
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+ | 1.0425 | 48.0 | 10320 | 1.2544 | 0.3333 |
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+ | 1.0211 | 49.0 | 10535 | 1.2543 | 0.3333 |
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+ | 1.0221 | 50.0 | 10750 | 1.2543 | 0.3333 |
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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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