End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/detr-resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- bpmn-shapes
+model-index:
+- name: daigram_detr_r50_albumentations
+  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. -->
+
+# daigram_detr_r50_albumentations
+
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the bpmn-shapes dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 4.1057
+- eval_runtime: 7.2682
+- eval_samples_per_second: 5.641
+- eval_steps_per_second: 0.826
+- epoch: 223.68
+- step: 4250
+
+## 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: 500
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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