End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: ustc-community/dfine-small-coco
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tags:
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- generated_from_trainer
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model-index:
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- name: dfine-test
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# dfine-test
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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.
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It achieves the following results on the evaluation set:
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- Loss: 2.0721
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 20.1936 | 1.0 | 712 | 2.6821 |
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| 19.1183 | 2.0 | 1424 | 2.3533 |
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| 16.1951 | 3.0 | 2136 | 1.7233 |
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| 14.4265 | 4.0 | 2848 | 1.9414 |
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| 14.3184 | 5.0 | 3560 | 2.3461 |
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| 14.5909 | 6.0 | 4272 | 2.0509 |
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| 14.6728 | 7.0 | 4984 | 2.0568 |
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| 14.3686 | 8.0 | 5696 | 2.1048 |
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| 14.6144 | 9.0 | 6408 | 2.0980 |
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| 14.4749 | 10.0 | 7120 | 2.0721 |
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### Framework versions
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- Transformers 4.52.0.dev0
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- Pytorch 2.7.0+cu126
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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