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hkivancoral
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smids_3x_deit_tiny_rms_00001_fold1

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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  1. README.md +125 -0
  2. pytorch_model.bin +1 -1
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: smids_3x_deit_tiny_rms_00001_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: 0.8831385642737897
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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_3x_deit_tiny_rms_00001_fold1
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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: 0.9365
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+ - Accuracy: 0.8831
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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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+ | 0.3997 | 1.0 | 226 | 0.3347 | 0.8631 |
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+ | 0.255 | 2.0 | 452 | 0.2918 | 0.8831 |
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+ | 0.1424 | 3.0 | 678 | 0.3193 | 0.8748 |
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+ | 0.1606 | 4.0 | 904 | 0.3236 | 0.8865 |
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+ | 0.1532 | 5.0 | 1130 | 0.3062 | 0.8915 |
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+ | 0.0588 | 6.0 | 1356 | 0.4276 | 0.8915 |
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+ | 0.0136 | 7.0 | 1582 | 0.4629 | 0.8831 |
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+ | 0.0352 | 8.0 | 1808 | 0.5602 | 0.8765 |
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+ | 0.0656 | 9.0 | 2034 | 0.5379 | 0.8765 |
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+ | 0.0146 | 10.0 | 2260 | 0.6661 | 0.8881 |
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+ | 0.0002 | 11.0 | 2486 | 0.7507 | 0.8798 |
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+ | 0.015 | 12.0 | 2712 | 0.6981 | 0.8865 |
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+ | 0.0138 | 13.0 | 2938 | 0.9249 | 0.8715 |
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+ | 0.0124 | 14.0 | 3164 | 0.8454 | 0.8748 |
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+ | 0.0002 | 15.0 | 3390 | 0.8233 | 0.8781 |
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+ | 0.0006 | 16.0 | 3616 | 0.8574 | 0.8698 |
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+ | 0.0171 | 17.0 | 3842 | 0.8765 | 0.8781 |
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+ | 0.0 | 18.0 | 4068 | 0.8826 | 0.8865 |
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+ | 0.0173 | 19.0 | 4294 | 0.7556 | 0.8932 |
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+ | 0.0158 | 20.0 | 4520 | 0.9424 | 0.8748 |
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+ | 0.0001 | 21.0 | 4746 | 1.0298 | 0.8648 |
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+ | 0.0133 | 22.0 | 4972 | 0.9420 | 0.8664 |
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+ | 0.0145 | 23.0 | 5198 | 0.8626 | 0.8865 |
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+ | 0.0001 | 24.0 | 5424 | 0.9250 | 0.8781 |
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+ | 0.0 | 25.0 | 5650 | 0.8112 | 0.8948 |
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+ | 0.0002 | 26.0 | 5876 | 0.8569 | 0.8898 |
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+ | 0.0 | 27.0 | 6102 | 0.8070 | 0.8915 |
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+ | 0.0 | 28.0 | 6328 | 0.8507 | 0.8765 |
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+ | 0.0 | 29.0 | 6554 | 0.8437 | 0.8932 |
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+ | 0.0 | 30.0 | 6780 | 0.8816 | 0.8848 |
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+ | 0.0 | 31.0 | 7006 | 0.8733 | 0.8848 |
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+ | 0.0 | 32.0 | 7232 | 0.9948 | 0.8681 |
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+ | 0.0082 | 33.0 | 7458 | 0.9148 | 0.8831 |
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+ | 0.0 | 34.0 | 7684 | 0.9131 | 0.8881 |
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+ | 0.0 | 35.0 | 7910 | 0.9403 | 0.8781 |
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+ | 0.0 | 36.0 | 8136 | 0.9014 | 0.8765 |
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+ | 0.0 | 37.0 | 8362 | 0.9056 | 0.8798 |
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+ | 0.0 | 38.0 | 8588 | 0.9375 | 0.8781 |
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+ | 0.0 | 39.0 | 8814 | 0.9025 | 0.8831 |
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+ | 0.0 | 40.0 | 9040 | 0.9205 | 0.8815 |
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+ | 0.0051 | 41.0 | 9266 | 0.9089 | 0.8848 |
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+ | 0.0025 | 42.0 | 9492 | 0.9223 | 0.8848 |
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+ | 0.0 | 43.0 | 9718 | 0.9136 | 0.8881 |
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+ | 0.0 | 44.0 | 9944 | 0.9207 | 0.8848 |
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+ | 0.0 | 45.0 | 10170 | 0.9266 | 0.8831 |
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+ | 0.0 | 46.0 | 10396 | 0.9325 | 0.8865 |
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+ | 0.0 | 47.0 | 10622 | 0.9382 | 0.8815 |
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+ | 0.0 | 48.0 | 10848 | 0.9372 | 0.8815 |
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+ | 0.0 | 49.0 | 11074 | 0.9372 | 0.8831 |
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+ | 0.0 | 50.0 | 11300 | 0.9365 | 0.8831 |
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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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