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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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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: poison-distill-vit-imagenet-teacher
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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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+ # poison-distill-vit-imagenet-teacher
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: -1.3063
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+ - Accuracy: 0.5038
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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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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+ | -0.1813 | 1.0 | 130 | -0.9692 | 0.5113 |
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+ | -0.3694 | 2.0 | 260 | -0.9944 | 0.5263 |
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+ | -0.3258 | 3.0 | 390 | -1.2729 | 0.3835 |
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+ | -0.4198 | 4.0 | 520 | -1.1187 | 0.5038 |
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+ | -0.5634 | 5.0 | 650 | -1.3899 | 0.5338 |
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+ | -0.8886 | 6.0 | 780 | -0.4891 | 0.4962 |
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+ | -1.0453 | 7.0 | 910 | -1.5857 | 0.4812 |
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+ | -1.5477 | 8.0 | 1040 | -1.5516 | 0.4887 |
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+ | -1.5745 | 9.0 | 1170 | -1.7739 | 0.4737 |
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+ | -1.7883 | 10.0 | 1300 | -1.6647 | 0.4586 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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