[ROUND 1] Fitting at local epoch 1 with Kaohsiung_Port_dataset_2024

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: ARG-NCTU/detr-resnet-50-finetuned-600-epochs-GuardBoat-dataset
+base_model: ARG-NCTU/detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
 tags:
 - generated_from_trainer
 model-index:
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
 
-This model is a fine-tuned version of [ARG-NCTU/detr-resnet-50-finetuned-600-epochs-GuardBoat-dataset](https://huggingface.co/ARG-NCTU/detr-resnet-50-finetuned-600-epochs-GuardBoat-dataset) on an unknown dataset.
+This model is a fine-tuned version of [ARG-NCTU/detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024](https://huggingface.co/ARG-NCTU/detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024) on an unknown dataset.
 
 ## Model description
 
@@ -38,7 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 80
+- num_epochs: 1
 
 ### Training results
 

model.safetensors

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