metadata
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 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