dfine-test
This model is a fine-tuned version of 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
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Base model
ustc-community/dfine-small-coco