End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: SenseTime/deformable-detr
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: fisheye8k_SenseTime_deformable-detr
+  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. -->
+
+# fisheye8k_SenseTime_deformable-detr
+
+This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2359
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 0
+- 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: cosine
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.8578        | 1.0   | 5288  | 1.4569          |
+| 0.7252        | 2.0   | 10576 | 1.2005          |
+| 0.6929        | 3.0   | 15864 | 1.1937          |
+| 0.6535        | 4.0   | 21152 | 1.2539          |
+| 0.6191        | 5.0   | 26440 | 1.2350          |
+| 0.5987        | 6.0   | 31728 | 1.2300          |
+| 0.5677        | 7.0   | 37016 | 1.1897          |
+| 0.558         | 8.0   | 42304 | 1.2451          |
+| 0.5338        | 9.0   | 47592 | 1.1865          |
+| 0.5054        | 10.0  | 52880 | 1.1585          |
+| 0.4795        | 11.0  | 58168 | 1.2366          |
+| 0.4809        | 12.0  | 63456 | 1.2193          |
+| 0.4825        | 13.0  | 68744 | 1.2375          |
+| 0.4535        | 14.0  | 74032 | 1.2542          |
+| 0.4357        | 15.0  | 79320 | 1.2359          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Feb08_05-34-43_mcity-rtx-4090/events.out.tfevents.1739010884.mcity-rtx-4090.153757.13

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