---
library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: trainer_output
  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. -->

# trainer_output

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8925

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 375  | 1.5167          |
| 5.4733        | 2.0   | 750  | 1.3999          |
| 1.3923        | 3.0   | 1125 | 1.2187          |
| 1.2545        | 4.0   | 1500 | 1.1286          |
| 1.2545        | 5.0   | 1875 | 1.0867          |
| 1.1242        | 6.0   | 2250 | 1.0562          |
| 1.0583        | 7.0   | 2625 | 0.9958          |
| 0.9523        | 8.0   | 3000 | 0.9276          |
| 0.9523        | 9.0   | 3375 | 0.9194          |
| 0.9123        | 10.0  | 3750 | 0.9194          |


### Framework versions

- Transformers 5.5.4
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2