metadata
library_name: transformers
license: apache-2.0
base_model: arielb30/detr-resnet-50_finetuned_cppe5
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50_finetuned_cppe5
results: []
detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of arielb30/detr-resnet-50_finetuned_cppe5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2323
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: 8
- eval_batch_size: 8
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.316 | 0.8 | 100 | 1.2873 |
| 1.2785 | 1.6 | 200 | 1.2614 |
| 1.2304 | 2.4 | 300 | 1.2703 |
| 1.3002 | 3.2 | 400 | 1.2749 |
| 1.2282 | 4.0 | 500 | 1.2673 |
| 1.2266 | 4.8 | 600 | 1.2323 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1