---
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
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# 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: 3.2039

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0392        | 1.0   | 5288  | 3.5259          |
| 3.0592        | 2.0   | 10576 | 3.4599          |
| 3.1633        | 3.0   | 15864 | 3.5487          |
| 3.1245        | 4.0   | 21152 | 3.5904          |
| 3.0262        | 5.0   | 26440 | 3.2672          |
| 2.7331        | 6.0   | 31728 | 3.1167          |
| 2.9657        | 7.0   | 37016 | 3.4212          |
| 2.8438        | 8.0   | 42304 | 3.2879          |
| 2.7125        | 9.0   | 47592 | 3.0869          |
| 2.6851        | 10.0  | 52880 | 3.2923          |
| 2.5917        | 11.0  | 58168 | 3.0151          |
| 2.8082        | 12.0  | 63456 | 3.1771          |
| 2.6767        | 13.0  | 68744 | 3.2470          |
| 2.5765        | 14.0  | 74032 | 3.0629          |
| 2.6197        | 15.0  | 79320 | 3.1206          |
| 2.4499        | 16.0  | 84608 | 3.2039          |


### Framework versions

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