---
library_name: transformers
license: apache-2.0
base_model: hustvl/yolos-base
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: fisheye8k_hustvl_yolos-base
  results: []
---

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# 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