---
library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: fisheye8k_microsoft_conditional-detr-resnet-50
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fisheye8k_microsoft_conditional-detr-resnet-50

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4379

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0059        | 1.0   | 5288  | 1.4506          |
| 0.9022        | 2.0   | 10576 | 1.3697          |
| 0.8475        | 3.0   | 15864 | 1.4314          |
| 0.8099        | 4.0   | 21152 | 1.4027          |
| 0.7604        | 5.0   | 26440 | 1.3805          |
| 0.7556        | 6.0   | 31728 | 1.4091          |
| 0.709         | 7.0   | 37016 | 1.4379          |


### Framework versions

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