hkivancoral
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End of training
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README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-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_1x_beit_base_rms_00001_fold5
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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: 0.8292682926829268
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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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# hushem_1x_beit_base_rms_00001_fold5
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-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: 0.7273
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- Accuracy: 0.8293
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 6 | 1.3481 | 0.2927 |
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| 1.3909 | 2.0 | 12 | 0.6605 | 0.7317 |
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| 1.3909 | 3.0 | 18 | 0.4292 | 0.8780 |
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| 0.5403 | 4.0 | 24 | 0.4452 | 0.7805 |
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| 0.1465 | 5.0 | 30 | 0.3293 | 0.8537 |
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| 0.1465 | 6.0 | 36 | 0.3638 | 0.8537 |
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| 0.0351 | 7.0 | 42 | 0.4318 | 0.8537 |
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| 0.0351 | 8.0 | 48 | 0.5448 | 0.8537 |
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| 0.0141 | 9.0 | 54 | 0.6437 | 0.8049 |
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| 0.0043 | 10.0 | 60 | 0.5878 | 0.8293 |
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| 0.0043 | 11.0 | 66 | 0.6177 | 0.8537 |
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| 0.0037 | 12.0 | 72 | 0.5464 | 0.8537 |
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| 0.0037 | 13.0 | 78 | 0.5884 | 0.8537 |
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| 0.0055 | 14.0 | 84 | 0.5978 | 0.8537 |
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| 0.0023 | 15.0 | 90 | 0.6603 | 0.8293 |
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| 0.0023 | 16.0 | 96 | 0.8364 | 0.7805 |
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| 0.0022 | 17.0 | 102 | 0.7710 | 0.8049 |
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| 0.0022 | 18.0 | 108 | 0.8111 | 0.7805 |
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| 0.0021 | 19.0 | 114 | 0.8487 | 0.7805 |
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| 0.0014 | 20.0 | 120 | 0.7148 | 0.8049 |
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| 0.0014 | 21.0 | 126 | 0.7288 | 0.8049 |
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| 0.0018 | 22.0 | 132 | 0.6188 | 0.8537 |
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| 0.0018 | 23.0 | 138 | 0.6580 | 0.8537 |
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| 0.0007 | 24.0 | 144 | 0.6927 | 0.8537 |
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| 0.0009 | 25.0 | 150 | 0.6863 | 0.8537 |
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| 0.0009 | 26.0 | 156 | 0.6891 | 0.8537 |
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| 0.0005 | 27.0 | 162 | 0.7029 | 0.8537 |
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| 0.0005 | 28.0 | 168 | 0.6879 | 0.8537 |
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| 0.0008 | 29.0 | 174 | 0.7177 | 0.8537 |
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| 0.0005 | 30.0 | 180 | 0.7192 | 0.8537 |
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| 0.0005 | 31.0 | 186 | 0.6892 | 0.8537 |
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| 0.0009 | 32.0 | 192 | 0.7016 | 0.8537 |
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| 0.0009 | 33.0 | 198 | 0.6329 | 0.8537 |
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| 0.0013 | 34.0 | 204 | 0.6550 | 0.8537 |
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| 0.0012 | 35.0 | 210 | 0.7178 | 0.8293 |
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| 0.0012 | 36.0 | 216 | 0.7226 | 0.8293 |
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| 0.0005 | 37.0 | 222 | 0.7238 | 0.8293 |
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| 0.0005 | 38.0 | 228 | 0.7249 | 0.8293 |
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| 0.0004 | 39.0 | 234 | 0.7268 | 0.8293 |
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| 0.0005 | 40.0 | 240 | 0.7276 | 0.8293 |
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| 0.0005 | 41.0 | 246 | 0.7269 | 0.8293 |
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| 0.0008 | 42.0 | 252 | 0.7273 | 0.8293 |
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| 0.0008 | 43.0 | 258 | 0.7273 | 0.8293 |
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| 0.0005 | 44.0 | 264 | 0.7273 | 0.8293 |
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| 0.0004 | 45.0 | 270 | 0.7273 | 0.8293 |
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| 0.0004 | 46.0 | 276 | 0.7273 | 0.8293 |
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| 0.0071 | 47.0 | 282 | 0.7273 | 0.8293 |
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| 0.0071 | 48.0 | 288 | 0.7273 | 0.8293 |
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| 0.0008 | 49.0 | 294 | 0.7273 | 0.8293 |
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| 0.0003 | 50.0 | 300 | 0.7273 | 0.8293 |
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### Framework versions
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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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model.safetensors
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runs/Nov25_20-55-24_86b6a4671e23/events.out.tfevents.1700945725.86b6a4671e23.909.14
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