---
library_name: transformers
license: apache-2.0
base_model: facebook/deformable-detr-detic
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: fisheye8k_facebook_deformable-detr-detic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fisheye8k_facebook_deformable-detr-detic

This model is a fine-tuned version of [facebook/deformable-detr-detic](https://huggingface.co/facebook/deformable-detr-detic) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1348

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.435         | 1.0   | 5288  | 2.4832          |
| 2.2626        | 2.0   | 10576 | 2.6324          |
| 1.8443        | 3.0   | 15864 | 2.1361          |
| 2.4834        | 4.0   | 21152 | 2.5269          |
| 2.3417        | 5.0   | 26440 | 2.5997          |
| 1.939         | 6.0   | 31728 | 2.1948          |
| 1.8384        | 7.0   | 37016 | 2.0057          |
| 1.7235        | 8.0   | 42304 | 2.0182          |
| 1.728         | 9.0   | 47592 | 1.9454          |
| 1.621         | 10.0  | 52880 | 1.9876          |
| 1.539         | 11.0  | 58168 | 1.8862          |
| 1.7229        | 12.0  | 63456 | 2.2071          |
| 1.9613        | 13.0  | 68744 | 2.5147          |
| 1.5238        | 14.0  | 74032 | 1.9836          |
| 1.5777        | 15.0  | 79320 | 2.0812          |
| 1.5963        | 16.0  | 84608 | 2.1348          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0