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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cd45rb_nan_xywh |
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model-index: |
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- name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd |
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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-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd |
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This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5943 |
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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: 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: 20 |
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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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| 2.3194 | 1.0 | 4606 | 1.7874 | |
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| 2.3461 | 2.0 | 9212 | 1.8376 | |
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| 2.3028 | 3.0 | 13818 | 1.9087 | |
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| 2.2979 | 4.0 | 18424 | 1.9066 | |
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| 2.273 | 5.0 | 23030 | 1.7689 | |
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| 2.2372 | 6.0 | 27636 | 1.8501 | |
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| 2.2429 | 7.0 | 32242 | 1.7625 | |
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| 2.2066 | 8.0 | 36848 | 1.7588 | |
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| 2.1914 | 9.0 | 41454 | 1.7062 | |
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| 2.1553 | 10.0 | 46060 | 1.7069 | |
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| 2.1302 | 11.0 | 50666 | 1.6863 | |
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| 2.1321 | 12.0 | 55272 | 1.7722 | |
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| 2.1227 | 13.0 | 59878 | 1.6639 | |
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| 2.087 | 14.0 | 64484 | 1.6486 | |
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| 2.0676 | 15.0 | 69090 | 1.6632 | |
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| 2.0604 | 16.0 | 73696 | 1.6429 | |
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| 2.0435 | 17.0 | 78302 | 1.6224 | |
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| 2.0241 | 18.0 | 82908 | 1.6321 | |
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| 2.0041 | 19.0 | 87514 | 1.5970 | |
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| 1.9966 | 20.0 | 92120 | 1.5943 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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