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hushem_1x_deit_small_adamax_00001_fold4

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  2. model.safetensors +1 -1
  3. runs/Nov13_18-08-36_b0f37ff37b83/events.out.tfevents.1699898917.b0f37ff37b83.1153.8 +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_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: 0.6666666666666666
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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_fold4
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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: 0.7508
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+ - Accuracy: 0.6667
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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 | 1.3350 | 0.3571 |
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+ | 1.346 | 2.0 | 12 | 1.2810 | 0.3810 |
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+ | 1.346 | 3.0 | 18 | 1.2346 | 0.4048 |
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+ | 1.107 | 4.0 | 24 | 1.1917 | 0.4048 |
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+ | 0.9637 | 5.0 | 30 | 1.1623 | 0.3571 |
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+ | 0.9637 | 6.0 | 36 | 1.1357 | 0.4048 |
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+ | 0.8241 | 7.0 | 42 | 1.1137 | 0.4286 |
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+ | 0.8241 | 8.0 | 48 | 1.0906 | 0.4286 |
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+ | 0.6746 | 9.0 | 54 | 1.0721 | 0.4286 |
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+ | 0.594 | 10.0 | 60 | 1.0502 | 0.4286 |
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+ | 0.594 | 11.0 | 66 | 1.0303 | 0.4286 |
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+ | 0.4897 | 12.0 | 72 | 1.0072 | 0.4524 |
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+ | 0.4897 | 13.0 | 78 | 0.9837 | 0.4762 |
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+ | 0.4223 | 14.0 | 84 | 0.9800 | 0.4762 |
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+ | 0.3482 | 15.0 | 90 | 0.9580 | 0.5 |
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+ | 0.3482 | 16.0 | 96 | 0.9315 | 0.5238 |
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+ | 0.2808 | 17.0 | 102 | 0.9182 | 0.5238 |
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+ | 0.2808 | 18.0 | 108 | 0.9032 | 0.5714 |
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+ | 0.2441 | 19.0 | 114 | 0.8918 | 0.6190 |
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+ | 0.2119 | 20.0 | 120 | 0.8729 | 0.6190 |
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+ | 0.2119 | 21.0 | 126 | 0.8574 | 0.6190 |
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+ | 0.1699 | 22.0 | 132 | 0.8454 | 0.6190 |
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+ | 0.1699 | 23.0 | 138 | 0.8308 | 0.6190 |
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+ | 0.1443 | 24.0 | 144 | 0.8166 | 0.6190 |
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+ | 0.1255 | 25.0 | 150 | 0.8066 | 0.6905 |
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+ | 0.1255 | 26.0 | 156 | 0.8088 | 0.6905 |
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+ | 0.1078 | 27.0 | 162 | 0.7901 | 0.6905 |
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+ | 0.1078 | 28.0 | 168 | 0.7892 | 0.6667 |
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+ | 0.094 | 29.0 | 174 | 0.7900 | 0.6667 |
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+ | 0.0785 | 30.0 | 180 | 0.7761 | 0.6667 |
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+ | 0.0785 | 31.0 | 186 | 0.7673 | 0.6667 |
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+ | 0.071 | 32.0 | 192 | 0.7632 | 0.6667 |
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+ | 0.071 | 33.0 | 198 | 0.7572 | 0.6667 |
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+ | 0.066 | 34.0 | 204 | 0.7549 | 0.6667 |
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+ | 0.0595 | 35.0 | 210 | 0.7582 | 0.6667 |
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+ | 0.0595 | 36.0 | 216 | 0.7573 | 0.6667 |
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+ | 0.0553 | 37.0 | 222 | 0.7569 | 0.6667 |
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+ | 0.0553 | 38.0 | 228 | 0.7526 | 0.6667 |
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+ | 0.0524 | 39.0 | 234 | 0.7502 | 0.6667 |
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+ | 0.0501 | 40.0 | 240 | 0.7502 | 0.6667 |
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+ | 0.0501 | 41.0 | 246 | 0.7508 | 0.6667 |
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+ | 0.0507 | 42.0 | 252 | 0.7508 | 0.6667 |
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+ | 0.0507 | 43.0 | 258 | 0.7508 | 0.6667 |
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+ | 0.0466 | 44.0 | 264 | 0.7508 | 0.6667 |
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+ | 0.0501 | 45.0 | 270 | 0.7508 | 0.6667 |
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+ | 0.0501 | 46.0 | 276 | 0.7508 | 0.6667 |
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+ | 0.0512 | 47.0 | 282 | 0.7508 | 0.6667 |
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+ | 0.0512 | 48.0 | 288 | 0.7508 | 0.6667 |
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+ | 0.0478 | 49.0 | 294 | 0.7508 | 0.6667 |
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+ | 0.0501 | 50.0 | 300 | 0.7508 | 0.6667 |
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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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