---
library_name: transformers
license: apache-2.0
base_model: ustc-community/dfine-small-coco
tags:
- generated_from_trainer
model-index:
- name: dfine-test
  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. -->

# dfine-test

This model is a fine-tuned version of [ustc-community/dfine-small-coco](https://huggingface.co/ustc-community/dfine-small-coco) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0724

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 20.1936       | 1.0   | 712  | 2.6821          |
| 19.1183       | 2.0   | 1424 | 2.3533          |
| 16.1951       | 3.0   | 2136 | 1.7233          |
| 14.4265       | 4.0   | 2848 | 1.9414          |
| 14.3184       | 5.0   | 3560 | 2.3461          |
| 14.5909       | 6.0   | 4272 | 2.0509          |
| 14.6728       | 7.0   | 4984 | 2.0568          |
| 14.3686       | 8.0   | 5696 | 2.1048          |
| 14.6144       | 9.0   | 6408 | 2.0980          |
| 14.4749       | 10.0  | 7120 | 2.0721          |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1