---
library_name: transformers
base_model: jozhang97/deta-swin-large-o365
tags:
- generated_from_trainer
datasets:
- Voxel51/fisheye8k
model-index:
- name: fisheye8k_jozhang97_deta-swin-large-o365
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fisheye8k_jozhang97_deta-swin-large-o365

This model is a fine-tuned version of [jozhang97/deta-swin-large-o365](https://huggingface.co/jozhang97/deta-swin-large-o365) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0247

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3933        | 1.0   | 5288  | 1.6177          |
| 1.098         | 2.0   | 10576 | 1.2979          |
| 0.9565        | 3.0   | 15864 | 1.2650          |
| 0.8734        | 4.0   | 21152 | 1.2495          |
| 0.8196        | 5.0   | 26440 | 1.1328          |
| 0.7977        | 6.0   | 31728 | 1.3190          |
| 0.8448        | 7.0   | 37016 | 1.3999          |
| 0.7399        | 8.0   | 42304 | 1.3117          |
| 0.6325        | 9.0   | 47592 | 1.1202          |
| 0.621         | 10.0  | 52880 | 1.1707          |
| 0.7134        | 11.0  | 58168 | 1.2353          |
| 0.6425        | 12.0  | 63456 | 1.0416          |
| 0.5935        | 13.0  | 68744 | 0.9215          |
| 0.5798        | 14.0  | 74032 | 1.0827          |
| 0.5924        | 15.0  | 79320 | 1.0398          |
| 0.5559        | 16.0  | 84608 | 1.0112          |
| 0.5783        | 17.0  | 89896 | 1.0434          |
| 0.5536        | 18.0  | 95184 | 1.0247          |


### 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