sreejith8100 commited on
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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: naver-clova-ix/donut-base
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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-base-vishnu3
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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-base-vishnu3
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+
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+ This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7699
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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: 15
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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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+ | 3.4209 | 1.0 | 127 | 2.1796 |
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+ | 2.2026 | 2.0 | 254 | 1.5003 |
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+ | 1.3437 | 3.0 | 381 | 1.2493 |
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+ | 1.5722 | 4.0 | 508 | 1.1311 |
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+ | 0.8412 | 5.0 | 635 | 1.0430 |
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+ | 0.4204 | 6.0 | 762 | 0.9765 |
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+ | 0.4769 | 7.0 | 889 | 0.9437 |
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+ | 0.2852 | 8.0 | 1016 | 0.8951 |
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+ | 0.4611 | 9.0 | 1143 | 0.8431 |
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+ | 0.2971 | 10.0 | 1270 | 0.8496 |
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+ | 0.2414 | 11.0 | 1397 | 0.8118 |
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+ | 0.3451 | 12.0 | 1524 | 0.7813 |
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+ | 0.1289 | 13.0 | 1651 | 0.7743 |
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+ | 0.1248 | 14.0 | 1778 | 0.7769 |
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+ | 0.122 | 15.0 | 1905 | 0.7699 |
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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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