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End of training

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README.md ADDED
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+ ---
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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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+ model-index:
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+ - name: donut-vishnu_hwr3
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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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+ # donut-vishnu_hwr3
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+
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+ This model was trained from scratch on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1246
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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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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+ - 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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0967 | 1.0 | 185 | 0.1919 |
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+ | 0.1843 | 2.0 | 370 | 0.1281 |
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+ | 0.0893 | 3.0 | 555 | 0.1277 |
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+ | 0.1123 | 4.0 | 740 | 0.1331 |
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+ | 0.0158 | 5.0 | 925 | 0.1111 |
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+ | 0.0101 | 6.0 | 1110 | 0.1287 |
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+ | 0.0205 | 7.0 | 1295 | 0.1201 |
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+ | 0.0055 | 8.0 | 1480 | 0.1291 |
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+ | 0.0096 | 9.0 | 1665 | 0.1231 |
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+ | 0.016 | 10.0 | 1850 | 0.1246 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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