metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-101-dc5
tags:
- generated_from_trainer
datasets:
- Voxel51/fisheye8k
model-index:
- name: fisheye8k_facebook_detr-resnet-101-dc5
results: []
fisheye8k_facebook_detr-resnet-101-dc5
This model is a fine-tuned version of facebook/detr-resnet-101-dc5 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.6740
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: 1
- eval_batch_size: 8
- seed: 0
- 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: cosine
- num_epochs: 36
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1508 | 1.0 | 5288 | 2.4721 |
| 1.7423 | 2.0 | 10576 | 2.3029 |
| 1.5881 | 3.0 | 15864 | 2.2454 |
| 1.5641 | 4.0 | 21152 | 2.2912 |
| 1.4438 | 5.0 | 26440 | 2.2912 |
| 1.4503 | 6.0 | 31728 | 2.5056 |
| 1.3487 | 7.0 | 37016 | 2.5812 |
| 1.2777 | 8.0 | 42304 | 2.6740 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Mcity Data Engine: https://arxiv.org/abs/2504.21614