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End of training

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  2. pytorch_model.bin +1 -1
README.md CHANGED
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  # detr-resnet-50_finetuned_detect-waste
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- This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/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: 1.7927
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  - Dummy: 1
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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: polynomial
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Dummy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----:|
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- | 2.081 | 1.95 | 800 | 1.7927 | 1 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.32.0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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  # detr-resnet-50_finetuned_detect-waste
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+ This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5678
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  - Dummy: 1
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Dummy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----:|
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+ | 2.4218 | 5.26 | 500 | 2.0445 | 1 |
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+ | 2.269 | 10.53 | 1000 | 1.9227 | 1 |
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+ | 1.9898 | 15.79 | 1500 | 1.7609 | 1 |
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+ | 2.0422 | 21.05 | 2000 | 1.6763 | 1 |
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+ | 2.1387 | 26.32 | 2500 | 1.7746 | 1 |
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+ | 1.8163 | 31.58 | 3000 | 1.6525 | 1 |
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+ | 1.7993 | 36.84 | 3500 | 1.6010 | 1 |
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+ | 1.8009 | 42.11 | 4000 | 1.5959 | 1 |
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+ | 1.8148 | 47.37 | 4500 | 1.5332 | 1 |
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+ | 1.7837 | 52.63 | 5000 | 1.5525 | 1 |
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+ | 1.5934 | 57.89 | 5500 | 1.5409 | 1 |
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+ | 1.5357 | 63.16 | 6000 | 1.5678 | 1 |
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  ### Framework versions
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+ - Transformers 4.33.0.dev0
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
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  - Tokenizers 0.13.3
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