--- library_name: transformers license: apache-2.0 base_model: facebook/detr-resnet-50-dc5 tags: - generated_from_trainer model-index: - name: detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-1000 results: [] --- # detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-1000 This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.0027 - Map: 0.0011 - Map 50: 0.0042 - Map 75: 0.0001 - Map Small: 0.0011 - Map Medium: -1.0 - Map Large: -1.0 - Mar 1: 0.0005 - Mar 10: 0.0038 - Mar 100: 0.0397 - Mar Small: 0.0397 - Mar Medium: -1.0 - Mar Large: -1.0 - Map Recilia dorsalis: 0.001 - Mar 100 Recilia dorsalis: 0.029 - Map Nephotettix malayanus: 0.0033 - Mar 100 Nephotettix malayanus: 0.1299 - Map Sogatella furcifera: 0.0 - Mar 100 Sogatella furcifera: 0.0 - Map Nilaparvata lugens: 0.0 - Mar 100 Nilaparvata lugens: 0.0 ## 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: 1e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - training_steps: 100 - 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 Recilia dorsalis | Mar 100 Recilia dorsalis | Map Nephotettix malayanus | Mar 100 Nephotettix malayanus | Map Sogatella furcifera | Mar 100 Sogatella furcifera | Map Nilaparvata lugens | Mar 100 Nilaparvata lugens | |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------------------:|:------------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:---------------------------:|:----------------------:|:--------------------------:| | 4.266 | 2.3810 | 50 | 3.2196 | 0.0007 | 0.0035 | 0.0001 | 0.0007 | -1.0 | -1.0 | 0.0 | 0.0029 | 0.0298 | 0.0298 | -1.0 | -1.0 | 0.0007 | 0.0234 | 0.0022 | 0.0959 | 0.0 | 0.0 | 0.0 | 0.0 | | 3.8932 | 4.7619 | 100 | 3.0027 | 0.0011 | 0.0042 | 0.0001 | 0.0011 | -1.0 | -1.0 | 0.0005 | 0.0038 | 0.0397 | 0.0397 | -1.0 | -1.0 | 0.001 | 0.029 | 0.0033 | 0.1299 | 0.0 | 0.0 | 0.0 | 0.0 | ### Framework versions - Transformers 4.46.1 - Pytorch 2.5.1 - Datasets 3.2.0 - Tokenizers 0.20.3