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hushem_1x_deit_small_adamax_00001_fold2

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  2. model.safetensors +1 -1
  3. runs/Nov13_18-00-28_b0f37ff37b83/events.out.tfevents.1699898429.b0f37ff37b83.1153.6 +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-small-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_1x_deit_small_adamax_00001_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: 0.6222222222222222
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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_1x_deit_small_adamax_00001_fold2
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+
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+ This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3101
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+ - Accuracy: 0.6222
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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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+ | No log | 1.0 | 6 | 1.3638 | 0.3556 |
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+ | 1.331 | 2.0 | 12 | 1.3133 | 0.4222 |
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+ | 1.331 | 3.0 | 18 | 1.2851 | 0.4222 |
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+ | 1.0997 | 4.0 | 24 | 1.2715 | 0.4 |
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+ | 0.9418 | 5.0 | 30 | 1.2498 | 0.4444 |
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+ | 0.9418 | 6.0 | 36 | 1.2371 | 0.5111 |
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+ | 0.7701 | 7.0 | 42 | 1.2279 | 0.5111 |
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+ | 0.7701 | 8.0 | 48 | 1.2223 | 0.5556 |
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+ | 0.6624 | 9.0 | 54 | 1.2136 | 0.5333 |
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+ | 0.5468 | 10.0 | 60 | 1.2047 | 0.5111 |
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+ | 0.5468 | 11.0 | 66 | 1.2129 | 0.5333 |
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+ | 0.4638 | 12.0 | 72 | 1.2131 | 0.5556 |
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+ | 0.4638 | 13.0 | 78 | 1.2055 | 0.5778 |
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+ | 0.375 | 14.0 | 84 | 1.2059 | 0.5778 |
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+ | 0.3096 | 15.0 | 90 | 1.2025 | 0.5778 |
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+ | 0.3096 | 16.0 | 96 | 1.2062 | 0.5778 |
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+ | 0.2535 | 17.0 | 102 | 1.2103 | 0.6 |
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+ | 0.2535 | 18.0 | 108 | 1.2313 | 0.5778 |
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+ | 0.2168 | 19.0 | 114 | 1.2293 | 0.5778 |
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+ | 0.1735 | 20.0 | 120 | 1.2169 | 0.6222 |
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+ | 0.1735 | 21.0 | 126 | 1.2306 | 0.6222 |
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+ | 0.1492 | 22.0 | 132 | 1.2370 | 0.6222 |
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+ | 0.1492 | 23.0 | 138 | 1.2467 | 0.6222 |
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+ | 0.1264 | 24.0 | 144 | 1.2411 | 0.6222 |
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+ | 0.1012 | 25.0 | 150 | 1.2438 | 0.6222 |
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+ | 0.1012 | 26.0 | 156 | 1.2523 | 0.6222 |
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+ | 0.0887 | 27.0 | 162 | 1.2537 | 0.6 |
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+ | 0.0887 | 28.0 | 168 | 1.2661 | 0.6222 |
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+ | 0.0734 | 29.0 | 174 | 1.2715 | 0.6222 |
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+ | 0.0647 | 30.0 | 180 | 1.2745 | 0.6 |
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+ | 0.0647 | 31.0 | 186 | 1.2817 | 0.6222 |
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+ | 0.0577 | 32.0 | 192 | 1.2861 | 0.6222 |
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+ | 0.0577 | 33.0 | 198 | 1.2908 | 0.6222 |
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+ | 0.0525 | 34.0 | 204 | 1.2935 | 0.6222 |
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+ | 0.048 | 35.0 | 210 | 1.2969 | 0.6222 |
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+ | 0.048 | 36.0 | 216 | 1.2990 | 0.6 |
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+ | 0.0443 | 37.0 | 222 | 1.3015 | 0.6 |
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+ | 0.0443 | 38.0 | 228 | 1.3052 | 0.6222 |
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+ | 0.0404 | 39.0 | 234 | 1.3082 | 0.6222 |
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+ | 0.0394 | 40.0 | 240 | 1.3089 | 0.6222 |
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+ | 0.0394 | 41.0 | 246 | 1.3101 | 0.6222 |
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+ | 0.0387 | 42.0 | 252 | 1.3101 | 0.6222 |
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+ | 0.0387 | 43.0 | 258 | 1.3101 | 0.6222 |
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+ | 0.0369 | 44.0 | 264 | 1.3101 | 0.6222 |
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+ | 0.0381 | 45.0 | 270 | 1.3101 | 0.6222 |
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+ | 0.0381 | 46.0 | 276 | 1.3101 | 0.6222 |
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+ | 0.0382 | 47.0 | 282 | 1.3101 | 0.6222 |
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+ | 0.0382 | 48.0 | 288 | 1.3101 | 0.6222 |
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+ | 0.037 | 49.0 | 294 | 1.3101 | 0.6222 |
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+ | 0.0386 | 50.0 | 300 | 1.3101 | 0.6222 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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