| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: microsoft/conditional-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: results
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| results: []
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| ---
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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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|
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| # results
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| This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 1.7669
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|
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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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|
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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: 2e-05
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| - train_batch_size: 16
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| - eval_batch_size: 16
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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: 30
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss |
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| |:-------------:|:-----:|:----:|:---------------:|
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| | 12.8436 | 1.0 | 4 | 11.5652 |
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| | 12.8436 | 2.0 | 8 | 8.6499 |
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| | 12.8436 | 3.0 | 12 | 6.6430 |
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| | 12.8436 | 4.0 | 16 | 5.4425 |
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| | 12.8436 | 5.0 | 20 | 4.4521 |
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| | 12.8436 | 6.0 | 24 | 3.9127 |
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| | 12.8436 | 7.0 | 28 | 3.3273 |
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| | 12.8436 | 8.0 | 32 | 3.0743 |
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| | 12.8436 | 9.0 | 36 | 2.8087 |
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| | 12.8436 | 10.0 | 40 | 2.5618 |
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| | 12.8436 | 11.0 | 44 | 2.4515 |
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| | 12.8436 | 12.0 | 48 | 2.3580 |
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| | 12.8436 | 13.0 | 52 | 2.2749 |
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| | 12.8436 | 14.0 | 56 | 2.1216 |
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| | 12.8436 | 15.0 | 60 | 2.0890 |
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| | 12.8436 | 16.0 | 64 | 2.0283 |
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| | 12.8436 | 17.0 | 68 | 2.0358 |
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| | 12.8436 | 18.0 | 72 | 1.9374 |
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| | 12.8436 | 19.0 | 76 | 1.9090 |
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| | 12.8436 | 20.0 | 80 | 1.8779 |
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| | 12.8436 | 21.0 | 84 | 1.8474 |
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| | 12.8436 | 22.0 | 88 | 1.8371 |
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| | 12.8436 | 23.0 | 92 | 1.8247 |
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| | 12.8436 | 24.0 | 96 | 1.8031 |
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| | 12.8436 | 25.0 | 100 | 1.7836 |
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| | 12.8436 | 26.0 | 104 | 1.7500 |
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| | 12.8436 | 27.0 | 108 | 1.7332 |
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| | 12.8436 | 28.0 | 112 | 1.7477 |
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| | 12.8436 | 29.0 | 116 | 1.7634 |
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| | 12.8436 | 30.0 | 120 | 1.7669 |
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| ### Framework versions
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| - Transformers 4.49.0
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| - Pytorch 2.6.0+cpu
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| - Datasets 3.3.2
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| - Tokenizers 0.21.0
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|
