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hushem_5x_deit_base_sgd_001_fold4

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  2. model.safetensors +1 -1
  3. runs/Nov26_04-41-40_86b6a4671e23/events.out.tfevents.1700973701.86b6a4671e23.909.34 +2 -2
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_5x_deit_base_sgd_001_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: 0.5476190476190477
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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_5x_deit_base_sgd_001_fold4
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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: 1.1129
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+ - Accuracy: 0.5476
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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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+ | 1.4194 | 1.0 | 28 | 1.4029 | 0.1667 |
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+ | 1.3727 | 2.0 | 56 | 1.3926 | 0.1667 |
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+ | 1.3518 | 3.0 | 84 | 1.3828 | 0.1905 |
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+ | 1.3497 | 4.0 | 112 | 1.3744 | 0.1905 |
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+ | 1.3305 | 5.0 | 140 | 1.3656 | 0.2381 |
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+ | 1.2982 | 6.0 | 168 | 1.3571 | 0.2619 |
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+ | 1.2935 | 7.0 | 196 | 1.3493 | 0.2619 |
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+ | 1.2822 | 8.0 | 224 | 1.3412 | 0.2857 |
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+ | 1.2479 | 9.0 | 252 | 1.3334 | 0.3095 |
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+ | 1.2377 | 10.0 | 280 | 1.3251 | 0.3333 |
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+ | 1.2239 | 11.0 | 308 | 1.3164 | 0.3095 |
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+ | 1.2188 | 12.0 | 336 | 1.3079 | 0.3095 |
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+ | 1.2085 | 13.0 | 364 | 1.2995 | 0.3095 |
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+ | 1.1996 | 14.0 | 392 | 1.2913 | 0.3333 |
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+ | 1.1629 | 15.0 | 420 | 1.2831 | 0.3810 |
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+ | 1.1847 | 16.0 | 448 | 1.2748 | 0.4048 |
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+ | 1.1633 | 17.0 | 476 | 1.2664 | 0.4048 |
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+ | 1.1189 | 18.0 | 504 | 1.2580 | 0.4048 |
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+ | 1.1351 | 19.0 | 532 | 1.2497 | 0.4286 |
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+ | 1.1255 | 20.0 | 560 | 1.2415 | 0.4286 |
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+ | 1.0873 | 21.0 | 588 | 1.2339 | 0.4524 |
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+ | 1.0919 | 22.0 | 616 | 1.2256 | 0.4524 |
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+ | 1.0941 | 23.0 | 644 | 1.2182 | 0.4524 |
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+ | 1.0702 | 24.0 | 672 | 1.2106 | 0.4762 |
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+ | 1.0623 | 25.0 | 700 | 1.2031 | 0.4762 |
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+ | 1.03 | 26.0 | 728 | 1.1958 | 0.4762 |
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+ | 1.0368 | 27.0 | 756 | 1.1889 | 0.4762 |
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+ | 1.0301 | 28.0 | 784 | 1.1818 | 0.4762 |
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+ | 1.0348 | 29.0 | 812 | 1.1756 | 0.5 |
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+ | 1.0312 | 30.0 | 840 | 1.1689 | 0.5 |
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+ | 1.0387 | 31.0 | 868 | 1.1627 | 0.5238 |
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+ | 1.0057 | 32.0 | 896 | 1.1569 | 0.5 |
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+ | 1.0052 | 33.0 | 924 | 1.1517 | 0.5 |
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+ | 0.9799 | 34.0 | 952 | 1.1467 | 0.5 |
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+ | 1.0233 | 35.0 | 980 | 1.1420 | 0.5 |
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+ | 0.9665 | 36.0 | 1008 | 1.1375 | 0.5 |
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+ | 0.976 | 37.0 | 1036 | 1.1338 | 0.5 |
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+ | 0.9856 | 38.0 | 1064 | 1.1303 | 0.5 |
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+ | 0.9687 | 39.0 | 1092 | 1.1270 | 0.5 |
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+ | 0.9553 | 40.0 | 1120 | 1.1240 | 0.5238 |
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+ | 0.9573 | 41.0 | 1148 | 1.1217 | 0.5476 |
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+ | 0.9651 | 42.0 | 1176 | 1.1193 | 0.5476 |
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+ | 0.9476 | 43.0 | 1204 | 1.1173 | 0.5476 |
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+ | 0.938 | 44.0 | 1232 | 1.1158 | 0.5476 |
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+ | 0.9255 | 45.0 | 1260 | 1.1146 | 0.5476 |
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+ | 0.9569 | 46.0 | 1288 | 1.1137 | 0.5476 |
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+ | 0.9503 | 47.0 | 1316 | 1.1131 | 0.5476 |
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+ | 0.9115 | 48.0 | 1344 | 1.1129 | 0.5476 |
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+ | 0.9482 | 49.0 | 1372 | 1.1129 | 0.5476 |
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+ | 0.9401 | 50.0 | 1400 | 1.1129 | 0.5476 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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