End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/conditional-detr-resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: fisheye8k_microsoft_conditional-detr-resnet-50
+  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_microsoft_conditional-detr-resnet-50
+
+This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3354
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.1319        | 1.0   | 2644  | 1.3800          |
+| 1.009         | 2.0   | 5288  | 1.4998          |
+| 0.9009        | 3.0   | 7932  | 1.4437          |
+| 0.8777        | 4.0   | 10576 | 1.3487          |
+| 0.8221        | 5.0   | 13220 | 1.3052          |
+| 0.7792        | 6.0   | 15864 | 1.3933          |
+| 0.755         | 7.0   | 18508 | 1.4144          |
+| 0.7455        | 8.0   | 21152 | 1.2465          |
+| 0.7103        | 9.0   | 23796 | 1.4545          |
+| 0.6902        | 10.0  | 26440 | 1.4291          |
+| 0.6511        | 11.0  | 29084 | 1.4216          |
+| 0.6434        | 12.0  | 31728 | 1.3471          |
+| 0.6373        | 13.0  | 34372 | 1.3354          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Feb07_10-00-59_mcity-rtx-4090/events.out.tfevents.1738940459.mcity-rtx-4090.206624.0

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