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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/deit-tiny-distilled-patch16-224
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: deit-tiny-distilled-patch16-224_alpha0.7_temp5.0
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+ results: []
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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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+ # deit-tiny-distilled-patch16-224_alpha0.7_temp5.0
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+
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+ This model is a fine-tuned version of [facebook/deit-tiny-distilled-patch16-224](https://huggingface.co/facebook/deit-tiny-distilled-patch16-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8272
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+ - Accuracy: 0.6759
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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: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 20
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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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+ | 1.1279 | 1.0 | 90 | 1.4258 | 0.2885 |
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+ | 1.0009 | 2.0 | 180 | 1.2871 | 0.4032 |
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+ | 0.8508 | 3.0 | 270 | 1.1393 | 0.5188 |
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+ | 0.6275 | 4.0 | 360 | 0.9692 | 0.5998 |
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+ | 0.4415 | 5.0 | 450 | 0.8753 | 0.6294 |
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+ | 0.3063 | 6.0 | 540 | 0.9110 | 0.6344 |
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+ | 0.2427 | 7.0 | 630 | 0.8515 | 0.6551 |
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+ | 0.1898 | 8.0 | 720 | 0.8637 | 0.6650 |
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+ | 0.1703 | 9.0 | 810 | 0.8610 | 0.6739 |
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+ | 0.152 | 10.0 | 900 | 0.8408 | 0.6848 |
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+ | 0.1409 | 11.0 | 990 | 0.8493 | 0.6690 |
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+ | 0.1429 | 12.0 | 1080 | 0.8365 | 0.6749 |
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+ | 0.1266 | 13.0 | 1170 | 0.8371 | 0.6789 |
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+ | 0.127 | 14.0 | 1260 | 0.8402 | 0.6700 |
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+ | 0.1225 | 15.0 | 1350 | 0.8437 | 0.6779 |
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+ | 0.1199 | 16.0 | 1440 | 0.8451 | 0.6680 |
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+ | 0.1172 | 17.0 | 1530 | 0.8232 | 0.6789 |
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+ | 0.1107 | 18.0 | 1620 | 0.8329 | 0.6759 |
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+ | 0.1106 | 19.0 | 1710 | 0.8262 | 0.6749 |
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+ | 0.1063 | 20.0 | 1800 | 0.8272 | 0.6759 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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