| --- |
| 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.52.0.dev0 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
|
|
