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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_alpha0.5_temp3.0
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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_alpha0.5_temp3.0
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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: 0.8045
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+ - Accuracy: 0.6877
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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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+ | 1.2203 | 1.0 | 90 | 1.4123 | 0.2875 |
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+ | 1.0812 | 2.0 | 180 | 1.2838 | 0.4061 |
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+ | 0.9486 | 3.0 | 270 | 1.1327 | 0.5040 |
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+ | 0.6955 | 4.0 | 360 | 0.9298 | 0.6166 |
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+ | 0.4946 | 5.0 | 450 | 0.8451 | 0.6551 |
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+ | 0.3529 | 6.0 | 540 | 0.8921 | 0.6472 |
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+ | 0.2815 | 7.0 | 630 | 0.8604 | 0.6581 |
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+ | 0.2195 | 8.0 | 720 | 0.8425 | 0.6571 |
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+ | 0.201 | 9.0 | 810 | 0.8144 | 0.6808 |
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+ | 0.186 | 10.0 | 900 | 0.8184 | 0.6897 |
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+ | 0.1747 | 11.0 | 990 | 0.8467 | 0.6709 |
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+ | 0.1766 | 12.0 | 1080 | 0.8266 | 0.6789 |
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+ | 0.1615 | 13.0 | 1170 | 0.8106 | 0.6729 |
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+ | 0.1618 | 14.0 | 1260 | 0.8074 | 0.6868 |
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+ | 0.1574 | 15.0 | 1350 | 0.8163 | 0.6789 |
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+ | 0.1534 | 16.0 | 1440 | 0.8144 | 0.6798 |
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+ | 0.1507 | 17.0 | 1530 | 0.8034 | 0.6798 |
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+ | 0.1426 | 18.0 | 1620 | 0.8038 | 0.6828 |
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+ | 0.1436 | 19.0 | 1710 | 0.8051 | 0.6848 |
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+ | 0.1393 | 20.0 | 1800 | 0.8045 | 0.6877 |
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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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