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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: deta-cd45rb-4ah-4l |
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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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# deta-cd45rb-4ah-4l |
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This model is a fine-tuned version of [jozhang97/deta-swin-large](https://huggingface.co/jozhang97/deta-swin-large) on the cd45rb_nan_xywh dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3723 |
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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-06 |
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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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- 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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| 4.8838 | 1.0 | 4606 | 5.5818 | |
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| 4.3326 | 2.0 | 9212 | 5.5327 | |
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| 4.3118 | 3.0 | 13818 | 5.3539 | |
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| 4.1978 | 4.0 | 18424 | 5.1552 | |
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| 4.0235 | 5.0 | 23030 | 4.9679 | |
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| 3.9038 | 6.0 | 27636 | 4.7824 | |
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| 3.8628 | 7.0 | 32242 | 4.5919 | |
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| 3.7967 | 8.0 | 36848 | 4.4415 | |
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| 3.7638 | 9.0 | 41454 | 4.4006 | |
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| 3.7538 | 10.0 | 46060 | 4.3723 | |
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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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