Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: SenseTime/deformable-detr
 tags:
-- object-detection
-- vision
 - generated_from_trainer
 model-index:
 - name: sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad
@@ -13,10 +11,10 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/x3gitxj7)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/zv86s9w6)
 # sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad
 
-This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on the cppe-5 dataset.
+This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0442
 - Map: 0.3514
@@ -61,7 +59,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 4
-- eval_batch_size: 1
+- eval_batch_size: 8
 - seed: 1337
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 8

training_args.bin

@@ -1,3 +1,3 @@
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 size 4923