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Augusto777
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beit-base-patch16-224-ve-U13-b-80

Image Classification
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beit
Generated from Trainer
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  2. model.safetensors +1 -1
  3. runs/Jun12_14-01-05_DESKTOP-SKBE9FB/events.out.tfevents.1718222466.DESKTOP-SKBE9FB.12352.0 +2 -2
README.md ADDED
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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: beit-base-patch16-224-ve-U13-b-80
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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: validation
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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: 0.8043478260869565
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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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+ # beit-base-patch16-224-ve-U13-b-80
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+
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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: 0.9753
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+ - Accuracy: 0.8043
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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: 4e-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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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: 80
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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 | 0.92 | 6 | 1.3187 | 0.4565 |
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+ | 1.6193 | 2.0 | 13 | 1.3087 | 0.4565 |
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+ | 1.6193 | 2.92 | 19 | 1.2939 | 0.4565 |
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+ | 1.6044 | 4.0 | 26 | 1.2802 | 0.4565 |
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+ | 1.5061 | 4.92 | 32 | 1.2867 | 0.4565 |
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+ | 1.5061 | 6.0 | 39 | 1.2813 | 0.4565 |
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+ | 1.3879 | 6.92 | 45 | 1.2511 | 0.4565 |
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+ | 1.3007 | 8.0 | 52 | 1.1294 | 0.5652 |
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+ | 1.3007 | 8.92 | 58 | 1.0096 | 0.5435 |
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+ | 1.1213 | 10.0 | 65 | 0.9308 | 0.5217 |
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+ | 0.9968 | 10.92 | 71 | 0.9280 | 0.5435 |
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+ | 0.9968 | 12.0 | 78 | 0.8034 | 0.6087 |
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+ | 0.8771 | 12.92 | 84 | 0.7791 | 0.6522 |
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+ | 0.7383 | 14.0 | 91 | 0.8005 | 0.6739 |
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+ | 0.7383 | 14.92 | 97 | 0.7408 | 0.7391 |
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+ | 0.6658 | 16.0 | 104 | 0.9305 | 0.6304 |
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+ | 0.5879 | 16.92 | 110 | 0.7136 | 0.7609 |
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+ | 0.5879 | 18.0 | 117 | 0.7106 | 0.7609 |
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+ | 0.4609 | 18.92 | 123 | 0.6998 | 0.6957 |
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+ | 0.4123 | 20.0 | 130 | 0.7931 | 0.7609 |
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+ | 0.4123 | 20.92 | 136 | 0.9417 | 0.6739 |
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+ | 0.3552 | 22.0 | 143 | 0.7868 | 0.7174 |
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+ | 0.3552 | 22.92 | 149 | 0.9073 | 0.6957 |
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+ | 0.2896 | 24.0 | 156 | 0.8542 | 0.7174 |
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+ | 0.2316 | 24.92 | 162 | 0.7159 | 0.7391 |
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+ | 0.2316 | 26.0 | 169 | 0.7219 | 0.7174 |
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+ | 0.2339 | 26.92 | 175 | 0.7071 | 0.7609 |
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+ | 0.2055 | 28.0 | 182 | 1.0110 | 0.6739 |
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+ | 0.2055 | 28.92 | 188 | 0.6397 | 0.8478 |
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+ | 0.1995 | 30.0 | 195 | 0.6922 | 0.8478 |
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+ | 0.169 | 30.92 | 201 | 0.6171 | 0.8478 |
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+ | 0.169 | 32.0 | 208 | 0.6632 | 0.8261 |
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+ | 0.1586 | 32.92 | 214 | 0.6475 | 0.8261 |
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+ | 0.1439 | 34.0 | 221 | 0.8332 | 0.6957 |
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+ | 0.1439 | 34.92 | 227 | 0.6816 | 0.7826 |
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+ | 0.1698 | 36.0 | 234 | 0.8066 | 0.7609 |
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+ | 0.1362 | 36.92 | 240 | 0.7150 | 0.8043 |
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+ | 0.1362 | 38.0 | 247 | 0.7193 | 0.8043 |
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+ | 0.1344 | 38.92 | 253 | 0.8181 | 0.7609 |
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+ | 0.1317 | 40.0 | 260 | 0.6547 | 0.8261 |
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+ | 0.1317 | 40.92 | 266 | 0.8459 | 0.7609 |
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+ | 0.123 | 42.0 | 273 | 0.7700 | 0.8261 |
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+ | 0.123 | 42.92 | 279 | 0.9338 | 0.7391 |
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+ | 0.102 | 44.0 | 286 | 0.8536 | 0.8043 |
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+ | 0.1015 | 44.92 | 292 | 0.9725 | 0.7391 |
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+ | 0.1015 | 46.0 | 299 | 0.8865 | 0.8043 |
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+ | 0.1313 | 46.92 | 305 | 0.8947 | 0.8261 |
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+ | 0.1312 | 48.0 | 312 | 0.8235 | 0.8043 |
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+ | 0.1312 | 48.92 | 318 | 0.7326 | 0.8261 |
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+ | 0.1168 | 50.0 | 325 | 0.8654 | 0.7609 |
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+ | 0.09 | 50.92 | 331 | 0.7645 | 0.8261 |
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+ | 0.09 | 52.0 | 338 | 0.7632 | 0.8478 |
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+ | 0.0872 | 52.92 | 344 | 0.7496 | 0.8043 |
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+ | 0.0813 | 54.0 | 351 | 0.8846 | 0.8043 |
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+ | 0.0813 | 54.92 | 357 | 0.9214 | 0.7826 |
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+ | 0.0955 | 56.0 | 364 | 0.9284 | 0.7826 |
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+ | 0.1031 | 56.92 | 370 | 0.8855 | 0.7826 |
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+ | 0.1031 | 58.0 | 377 | 0.8619 | 0.8043 |
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+ | 0.0962 | 58.92 | 383 | 0.8187 | 0.8261 |
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+ | 0.0891 | 60.0 | 390 | 0.7430 | 0.8478 |
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+ | 0.0891 | 60.92 | 396 | 0.7530 | 0.8478 |
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+ | 0.0679 | 62.0 | 403 | 0.7790 | 0.8261 |
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+ | 0.0679 | 62.92 | 409 | 0.7905 | 0.8261 |
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+ | 0.0805 | 64.0 | 416 | 0.8286 | 0.8261 |
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+ | 0.0619 | 64.92 | 422 | 0.8371 | 0.8043 |
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+ | 0.0619 | 66.0 | 429 | 0.8655 | 0.8043 |
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+ | 0.0778 | 66.92 | 435 | 0.8897 | 0.8043 |
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+ | 0.0712 | 68.0 | 442 | 0.9385 | 0.8043 |
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+ | 0.0712 | 68.92 | 448 | 0.9611 | 0.8043 |
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+ | 0.0659 | 70.0 | 455 | 0.9597 | 0.8043 |
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+ | 0.0602 | 70.92 | 461 | 0.9635 | 0.8043 |
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+ | 0.0602 | 72.0 | 468 | 0.9733 | 0.8043 |
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+ | 0.0641 | 72.92 | 474 | 0.9754 | 0.8043 |
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+ | 0.0653 | 73.85 | 480 | 0.9753 | 0.8043 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu118
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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