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

This model is a fine-tuned version of [jozhang97/deta-swin-large](https://huggingface.co/jozhang97/deta-swin-large) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 17.9701

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 13.7551       | 1.0   | 5288  | 17.5573         |
| 12.6537       | 2.0   | 10576 | 17.4879         |
| 12.023        | 3.0   | 15864 | 17.6520         |
| 11.4167       | 4.0   | 21152 | 18.5138         |
| 10.8161       | 5.0   | 26440 | 17.7264         |
| 10.5346       | 6.0   | 31728 | 17.9145         |
| 10.1203       | 7.0   | 37016 | 17.9701         |


### Framework versions

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