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---
library_name: transformers
license: apache-2.0
base_model: hustvl/yolos-base
tags:
- generated_from_trainer
datasets:
- Voxel51/fisheye8k
model-index:
- name: fisheye8k_hustvl_yolos-base
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_hustvl_yolos-base
This model is a fine-tuned version of [hustvl/yolos-base](https://huggingface.co/hustvl/yolos-base) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6653
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9357 | 1.0 | 5288 | 2.7182 |
| 1.8095 | 2.0 | 10576 | 2.6559 |
| 1.6565 | 3.0 | 15864 | 2.5114 |
| 1.5912 | 4.0 | 21152 | 2.6875 |
| 1.6169 | 5.0 | 26440 | 2.7796 |
| 1.5075 | 6.0 | 31728 | 2.6514 |
| 1.4073 | 7.0 | 37016 | 2.7649 |
| 1.3617 | 8.0 | 42304 | 2.6653 |
### 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 |