End of training

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/conditional-detr-resnet-50
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7669
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 12.8436       | 1.0   | 4    | 11.5652         |
+| 12.8436       | 2.0   | 8    | 8.6499          |
+| 12.8436       | 3.0   | 12   | 6.6430          |
+| 12.8436       | 4.0   | 16   | 5.4425          |
+| 12.8436       | 5.0   | 20   | 4.4521          |
+| 12.8436       | 6.0   | 24   | 3.9127          |
+| 12.8436       | 7.0   | 28   | 3.3273          |
+| 12.8436       | 8.0   | 32   | 3.0743          |
+| 12.8436       | 9.0   | 36   | 2.8087          |
+| 12.8436       | 10.0  | 40   | 2.5618          |
+| 12.8436       | 11.0  | 44   | 2.4515          |
+| 12.8436       | 12.0  | 48   | 2.3580          |
+| 12.8436       | 13.0  | 52   | 2.2749          |
+| 12.8436       | 14.0  | 56   | 2.1216          |
+| 12.8436       | 15.0  | 60   | 2.0890          |
+| 12.8436       | 16.0  | 64   | 2.0283          |
+| 12.8436       | 17.0  | 68   | 2.0358          |
+| 12.8436       | 18.0  | 72   | 1.9374          |
+| 12.8436       | 19.0  | 76   | 1.9090          |
+| 12.8436       | 20.0  | 80   | 1.8779          |
+| 12.8436       | 21.0  | 84   | 1.8474          |
+| 12.8436       | 22.0  | 88   | 1.8371          |
+| 12.8436       | 23.0  | 92   | 1.8247          |
+| 12.8436       | 24.0  | 96   | 1.8031          |
+| 12.8436       | 25.0  | 100  | 1.7836          |
+| 12.8436       | 26.0  | 104  | 1.7500          |
+| 12.8436       | 27.0  | 108  | 1.7332          |
+| 12.8436       | 28.0  | 112  | 1.7477          |
+| 12.8436       | 29.0  | 116  | 1.7634          |
+| 12.8436       | 30.0  | 120  | 1.7669          |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cpu
+- Datasets 3.3.2
+- Tokenizers 0.21.0