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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: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detr-fashion-4cat |
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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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# detr-fashion-4cat |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0440 |
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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: 5e-05 |
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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: linear |
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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7384 | 1.0 | 300 | 1.6380 | |
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| 1.3931 | 2.0 | 600 | 1.4684 | |
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| 1.3187 | 3.0 | 900 | 1.3165 | |
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| 1.3685 | 4.0 | 1200 | 1.2539 | |
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| 1.2105 | 5.0 | 1500 | 1.1905 | |
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| 1.2659 | 6.0 | 1800 | 1.1981 | |
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| 1.1682 | 7.0 | 2100 | 1.1874 | |
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| 1.1649 | 8.0 | 2400 | 1.1931 | |
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| 1.1522 | 9.0 | 2700 | 1.1604 | |
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| 1.1317 | 10.0 | 3000 | 1.1260 | |
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| 1.0819 | 11.0 | 3300 | 1.1122 | |
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| 1.0025 | 12.0 | 3600 | 1.1030 | |
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| 0.985 | 13.0 | 3900 | 1.0857 | |
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| 0.9731 | 14.0 | 4200 | 1.0724 | |
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| 1.0007 | 15.0 | 4500 | 1.0754 | |
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| 0.9768 | 16.0 | 4800 | 1.0502 | |
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| 1.0687 | 17.0 | 5100 | 1.0470 | |
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| 1.0269 | 18.0 | 5400 | 1.0400 | |
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| 1.0892 | 19.0 | 5700 | 1.0273 | |
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| 0.9363 | 20.0 | 6000 | 1.0302 | |
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| 1.0073 | 21.0 | 6300 | 1.0330 | |
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| 1.002 | 22.0 | 6600 | 1.0335 | |
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| 0.9418 | 23.0 | 6900 | 1.0266 | |
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| 0.9004 | 24.0 | 7200 | 1.0192 | |
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| 0.9459 | 25.0 | 7500 | 1.0213 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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