metadata
library_name: transformers
license: apache-2.0
base_model: ustc-community/dfine-small-coco
tags:
- generated_from_trainer
model-index:
- name: dfine-small_barcode-detection
results: []
dfine-small_barcode-detection
This model is a fine-tuned version of ustc-community/dfine-small-coco on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1