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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: cdetr-cd45rb-s |
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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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# cdetr-cd45rb-s |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0136 |
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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: 0.0001 |
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- train_batch_size: 4 |
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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: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6006 | 1.0 | 242 | 2.2146 | |
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| 2.2409 | 2.0 | 484 | 2.1106 | |
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| 2.2027 | 3.0 | 726 | 2.1456 | |
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| 2.183 | 4.0 | 968 | 2.0863 | |
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| 2.0628 | 5.0 | 1210 | 2.0294 | |
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| 2.1588 | 6.0 | 1452 | 2.0859 | |
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| 2.1731 | 7.0 | 1694 | 2.0731 | |
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| 2.1041 | 8.0 | 1936 | 2.1052 | |
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| 2.0383 | 9.0 | 2178 | 2.0378 | |
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| 1.967 | 10.0 | 2420 | 2.0136 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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