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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50-dc5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: 020924-detr-segment-detect-debug |
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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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# 020924-detr-segment-detect-debug |
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This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.5982 |
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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: 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: linear |
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- training_steps: 200 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 6.9812 | 0.7692 | 50 | 7.6597 | |
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| 5.1829 | 1.5385 | 100 | 7.4352 | |
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| 4.5311 | 2.3077 | 150 | 7.1001 | |
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| 3.9432 | 3.0769 | 200 | 6.5982 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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