| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: UDOP-finetuned-DocLayNet-3 |
| results: [] |
| license: apache-2.0 |
| datasets: |
| - pierreguillou/DocLayNet-small |
| language: |
| - en |
| --- |
| |
| <!-- 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. --> |
|
|
| # UDOP-finetuned-DocLayNet-3 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.7407 |
| - eval_precision: 0.6058 |
| - eval_recall: 0.5870 |
| - eval_f1: 0.5962 |
| - eval_accuracy: 0.7863 |
| - eval_runtime: 16.2128 |
| - eval_samples_per_second: 3.886 |
| - eval_steps_per_second: 1.974 |
| - epoch: 18.6 |
| - step: 800 |
|
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|
|
| ## Training procedure |
| ### Training code: |
| https://github.com/mit1280/Document-AI/blob/main/UDOPEncoderModel_fine_tune_DocLayNet.ipynb |
| ### Inference code: |
| https://github.com/mit1280/Document-AI/blob/main/UDOP_DocLayNet_Inference.ipynb |
| |
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - training_steps: 1000 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.39.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
