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smids_3x_deit_base_sgd_001_fold2

Image Classification
Transformers
PyTorch
vit
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: 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: smids_3x_deit_base_sgd_001_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: 0.870216306156406
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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_base_sgd_001_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: 0.3164
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+ - Accuracy: 0.8702
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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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+ | 0.9356 | 1.0 | 225 | 0.9551 | 0.6140 |
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+ | 0.7266 | 2.0 | 450 | 0.7486 | 0.7288 |
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+ | 0.5616 | 3.0 | 675 | 0.6080 | 0.7704 |
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+ | 0.547 | 4.0 | 900 | 0.5262 | 0.7937 |
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+ | 0.4582 | 5.0 | 1125 | 0.4769 | 0.7987 |
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+ | 0.3947 | 6.0 | 1350 | 0.4429 | 0.8103 |
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+ | 0.3972 | 7.0 | 1575 | 0.4203 | 0.8270 |
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+ | 0.3767 | 8.0 | 1800 | 0.4042 | 0.8286 |
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+ | 0.3401 | 9.0 | 2025 | 0.3910 | 0.8369 |
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+ | 0.3023 | 10.0 | 2250 | 0.3806 | 0.8419 |
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+ | 0.3373 | 11.0 | 2475 | 0.3718 | 0.8436 |
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+ | 0.2966 | 12.0 | 2700 | 0.3663 | 0.8502 |
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+ | 0.2871 | 13.0 | 2925 | 0.3599 | 0.8502 |
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+ | 0.2823 | 14.0 | 3150 | 0.3565 | 0.8502 |
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+ | 0.3247 | 15.0 | 3375 | 0.3500 | 0.8486 |
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+ | 0.3466 | 16.0 | 3600 | 0.3478 | 0.8486 |
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+ | 0.2808 | 17.0 | 3825 | 0.3471 | 0.8486 |
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+ | 0.2148 | 18.0 | 4050 | 0.3407 | 0.8469 |
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+ | 0.245 | 19.0 | 4275 | 0.3382 | 0.8502 |
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+ | 0.2737 | 20.0 | 4500 | 0.3376 | 0.8486 |
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+ | 0.2877 | 21.0 | 4725 | 0.3336 | 0.8486 |
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+ | 0.3056 | 22.0 | 4950 | 0.3302 | 0.8502 |
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+ | 0.3242 | 23.0 | 5175 | 0.3293 | 0.8519 |
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+ | 0.2649 | 24.0 | 5400 | 0.3291 | 0.8536 |
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+ | 0.2721 | 25.0 | 5625 | 0.3296 | 0.8519 |
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+ | 0.2345 | 26.0 | 5850 | 0.3266 | 0.8519 |
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+ | 0.2272 | 27.0 | 6075 | 0.3224 | 0.8586 |
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+ | 0.2367 | 28.0 | 6300 | 0.3218 | 0.8569 |
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+ | 0.2688 | 29.0 | 6525 | 0.3231 | 0.8552 |
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+ | 0.2737 | 30.0 | 6750 | 0.3223 | 0.8569 |
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+ | 0.2277 | 31.0 | 6975 | 0.3231 | 0.8602 |
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+ | 0.2491 | 32.0 | 7200 | 0.3225 | 0.8602 |
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+ | 0.2511 | 33.0 | 7425 | 0.3193 | 0.8602 |
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+ | 0.2122 | 34.0 | 7650 | 0.3202 | 0.8569 |
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+ | 0.2292 | 35.0 | 7875 | 0.3193 | 0.8602 |
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+ | 0.243 | 36.0 | 8100 | 0.3185 | 0.8619 |
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+ | 0.2358 | 37.0 | 8325 | 0.3187 | 0.8652 |
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+ | 0.2127 | 38.0 | 8550 | 0.3178 | 0.8669 |
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+ | 0.2259 | 39.0 | 8775 | 0.3182 | 0.8686 |
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+ | 0.2023 | 40.0 | 9000 | 0.3176 | 0.8686 |
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+ | 0.194 | 41.0 | 9225 | 0.3177 | 0.8686 |
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+ | 0.2145 | 42.0 | 9450 | 0.3163 | 0.8669 |
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+ | 0.188 | 43.0 | 9675 | 0.3174 | 0.8686 |
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+ | 0.2222 | 44.0 | 9900 | 0.3170 | 0.8686 |
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+ | 0.2664 | 45.0 | 10125 | 0.3165 | 0.8652 |
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+ | 0.2195 | 46.0 | 10350 | 0.3166 | 0.8686 |
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+ | 0.2046 | 47.0 | 10575 | 0.3165 | 0.8686 |
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+ | 0.1994 | 48.0 | 10800 | 0.3164 | 0.8669 |
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+ | 0.2327 | 49.0 | 11025 | 0.3164 | 0.8702 |
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+ | 0.1935 | 50.0 | 11250 | 0.3164 | 0.8702 |
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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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