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README.md
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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: ustc-community/dfine-small-coco
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tags:
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- generated_from_trainer
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model-index:
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- name: dfine-small_barcode-detection
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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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# dfine-small_barcode-detection
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This model is a fine-tuned version of [ustc-community/dfine-small-coco](https://huggingface.co/ustc-community/dfine-small-coco) on an unknown dataset.
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 300
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- num_epochs: 1
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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 | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Barcode | Mar 100 Barcode |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-----------:|:---------------:|
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| No log | 1.0 | 409 | 2.5535 | 0.2266 | 0.3057 | 0.2461 | 0.0009 | 0.1704 | 0.2785 | 0.1718 | 0.641 | 0.8307 | 0.0872 | 0.8136 | 0.8521 | 0.2266 | 0.8307 |
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### Framework versions
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- Transformers 4.57.3
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- Pytorch 2.9.0+cu126
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- Datasets 4.4.2
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- Tokenizers 0.22.1
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