End of training

README.md

@@ -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: 3.4259
+- Loss: 1.2560
 
 ## Model description
 
@@ -35,19 +35,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 2
 - eval_batch_size: 2
 - 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: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.2876        | 1.0   | 500  | 3.1846          |
+| 1.9388        | 1.0   | 500  | 1.6931          |
+| 1.6687        | 2.0   | 1000 | 1.6105          |
+| 1.6005        | 3.0   | 1500 | 1.4854          |
+| 1.4927        | 4.0   | 2000 | 1.4709          |
+| 1.433         | 5.0   | 2500 | 1.3741          |
+| 1.3916        | 6.0   | 3000 | 1.3862          |
+| 1.3196        | 7.0   | 3500 | 1.3261          |
+| 1.2961        | 8.0   | 4000 | 1.2754          |
+| 1.25          | 9.0   | 4500 | 1.2689          |
+| 1.2318        | 10.0  | 5000 | 1.2476          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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