End of training

README.md

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+---
+base_model: TahaDouaji/detr-doc-table-detection
+tags:
+- generated_from_trainer
+model-index:
+- name: detr-resnet50_finetuned_icdar2019_finetuned_lstabledetv1
+  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. -->
+
+# detr-resnet50_finetuned_icdar2019_finetuned_lstabledetv1
+
+This model is a fine-tuned version of [TahaDouaji/detr-doc-table-detection](https://huggingface.co/TahaDouaji/detr-doc-table-detection) on an unknown dataset.
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar27_00-40-06_3a7a49e28d34/events.out.tfevents.1711500008.3a7a49e28d34.1012.0

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