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End of training

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Files changed (3) hide show
  1. README.md +29 -4
  2. model.safetensors +1 -1
  3. trainer_state.json +376 -26
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8917
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  ## Model description
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@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 25
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -70,8 +70,33 @@ The following hyperparameters were used during training:
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  | 3.0847 | 21.0 | 2415 | 2.9321 |
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  | 3.0333 | 22.0 | 2530 | 2.9128 |
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  | 3.0126 | 23.0 | 2645 | 2.8627 |
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- | 2.9701 | 24.0 | 2760 | 2.8686 |
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- | 2.9964 | 25.0 | 2875 | 2.8917 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
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+ - Loss: 2.8303
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 3.0847 | 21.0 | 2415 | 2.9321 |
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  | 3.0333 | 22.0 | 2530 | 2.9128 |
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  | 3.0126 | 23.0 | 2645 | 2.8627 |
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+ | 2.9782 | 32.0 | 3680 | 2.9471 |
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+ | 2.9773 | 33.0 | 3795 | 3.0306 |
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+ | 2.9528 | 34.0 | 3910 | 2.8513 |
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+ | 2.9228 | 35.0 | 4025 | 2.8997 |
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+ | 2.8933 | 37.0 | 4255 | 2.8871 |
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+ | 2.9069 | 39.0 | 4485 | 2.9625 |
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+ | 2.9246 | 40.0 | 4600 | 2.9946 |
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+ | 2.9089 | 41.0 | 4715 | 2.8936 |
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+ | 2.8573 | 42.0 | 4830 | 2.8272 |
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+ | 2.8378 | 43.0 | 4945 | 2.8543 |
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+ | 2.8957 | 44.0 | 5060 | 2.8590 |
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+ | 2.8454 | 45.0 | 5175 | 2.8525 |
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+ | 2.7964 | 46.0 | 5290 | 2.8658 |
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+ | 2.8172 | 47.0 | 5405 | 2.8872 |
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+ | 2.8472 | 48.0 | 5520 | 2.8654 |
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+ | 2.811 | 49.0 | 5635 | 2.8572 |
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+ | 2.801 | 50.0 | 5750 | 2.8303 |
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  ### Framework versions
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