---
library_name: transformers
license: apache-2.0
base_model: SenseTime/deformable-detr
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: fisheye8k_SenseTime_deformable-detr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fisheye8k_SenseTime_deformable-detr

This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2359

## 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: 32
- 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8578        | 1.0   | 5288  | 1.4569          |
| 0.7252        | 2.0   | 10576 | 1.2005          |
| 0.6929        | 3.0   | 15864 | 1.1937          |
| 0.6535        | 4.0   | 21152 | 1.2539          |
| 0.6191        | 5.0   | 26440 | 1.2350          |
| 0.5987        | 6.0   | 31728 | 1.2300          |
| 0.5677        | 7.0   | 37016 | 1.1897          |
| 0.558         | 8.0   | 42304 | 1.2451          |
| 0.5338        | 9.0   | 47592 | 1.1865          |
| 0.5054        | 10.0  | 52880 | 1.1585          |
| 0.4795        | 11.0  | 58168 | 1.2366          |
| 0.4809        | 12.0  | 63456 | 1.2193          |
| 0.4825        | 13.0  | 68744 | 1.2375          |
| 0.4535        | 14.0  | 74032 | 1.2542          |
| 0.4357        | 15.0  | 79320 | 1.2359          |


### Framework versions

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