End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: poison-distill-ViT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# poison-distill-ViT
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: -53.3057
+- Accuracy: 0.7218
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| -13.7561      | 1.0   | 130  | -15.7562        | 0.5789   |
+| -20.5455      | 2.0   | 260  | -18.6536        | 0.6165   |
+| -25.3189      | 3.0   | 390  | -28.8659        | 0.6241   |
+| -32.4562      | 4.0   | 520  | -31.9035        | 0.5940   |
+| -37.0539      | 5.0   | 650  | -40.0929        | 0.7068   |
+| -43.0244      | 6.0   | 780  | -41.5399        | 0.6466   |
+| -46.1567      | 7.0   | 910  | -47.8440        | 0.6692   |
+| -51.1963      | 8.0   | 1040 | -51.4154        | 0.6692   |
+| -54.7388      | 9.0   | 1170 | -53.5994        | 0.7293   |
+| -56.1867      | 10.0  | 1300 | -53.2331        | 0.7293   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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