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update model card README.md

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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-8ah-4l
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+ results: []
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+ ---
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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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+
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+ # deta-cd45rb-8ah-4l
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+
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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: 4.2551
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.0312 | 1.0 | 4606 | 5.0037 |
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+ | 3.7212 | 2.0 | 9212 | 5.0782 |
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+ | 3.6768 | 3.0 | 13818 | 5.1911 |
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+ | 3.5347 | 4.0 | 18424 | 4.6606 |
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+ | 3.4744 | 5.0 | 23030 | 4.6284 |
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+ | 3.4388 | 6.0 | 27636 | 4.4002 |
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+ | 3.4019 | 7.0 | 32242 | 4.3570 |
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+ | 3.3708 | 8.0 | 36848 | 4.3083 |
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+ | 3.3474 | 9.0 | 41454 | 4.2733 |
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+ | 3.338 | 10.0 | 46060 | 4.2551 |
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+
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+
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+ ### Framework versions
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+
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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