End of training
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README.md
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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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model-index:
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- name: donut_employee_info_v1
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results: []
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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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# donut_employee_info_v1
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1224
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1485 | 1.25 | 50 | 0.6847 |
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| 0.4124 | 2.5 | 100 | 0.2854 |
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| 0.2662 | 3.75 | 150 | 0.1829 |
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| 0.1875 | 5.0 | 200 | 0.1485 |
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| 0.152 | 6.25 | 250 | 0.1326 |
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| 0.1194 | 7.5 | 300 | 0.1360 |
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| 0.1045 | 8.75 | 350 | 0.1255 |
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| 0.0684 | 10.0 | 400 | 0.1224 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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}
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generation_config.json
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{
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"_from_model_config": true,
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"transformers_version": "4.35.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 809185432
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runs/Nov13_22-51-30_ACC/events.out.tfevents.1699944690.ACC.44338.0
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version https://git-lfs.github.com/spec/v1
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runs/Nov14_00-44-39_ACC/events.out.tfevents.1699951479.ACC.49590.0
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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