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--- |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detr-resnet-50_finetuned_detect-waste |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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