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Object Detection

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kaidittm commited on Apr 20

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End of training

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README.md +26 -4
model.safetensors +1 -1
training_args.bin +2 -2

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9163
 ## Model description
@@ -36,15 +36,37 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-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: 3
 ### Training results
 ### Framework versions

 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.1121
 ## Model description
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - 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: 20
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5219        | 1.0   | 150  | 1.5095          |
+| 1.4556        | 2.0   | 300  | 1.4327          |
+| 1.377         | 3.0   | 450  | 1.3390          |
+| 1.3398        | 4.0   | 600  | 1.2920          |
+| 1.3035        | 5.0   | 750  | 1.2615          |
+| 1.2632        | 6.0   | 900  | 1.2491          |
+| 1.2236        | 7.0   | 1050 | 1.2270          |
+| 1.2066        | 8.0   | 1200 | 1.2137          |
+| 1.1853        | 9.0   | 1350 | 1.1804          |
+| 1.1686        | 10.0  | 1500 | 1.1939          |
+| 1.1531        | 11.0  | 1650 | 1.1614          |
+| 1.1388        | 12.0  | 1800 | 1.1582          |
+| 1.1157        | 13.0  | 1950 | 1.1663          |
+| 1.0953        | 14.0  | 2100 | 1.1516          |
+| 1.0903        | 15.0  | 2250 | 1.1507          |
+| 1.0834        | 16.0  | 2400 | 1.1479          |
+| 1.0779        | 17.0  | 2550 | 1.1305          |
+| 1.0651        | 18.0  | 2700 | 1.1332          |
+| 1.0607        | 19.0  | 2850 | 1.1350          |
+| 1.0567        | 20.0  | 3000 | 1.1380          |
 ### Framework versions

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