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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: facebook/detr-resnet-50-dc5
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tags:
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- generated_from_trainer
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model-index:
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- name: 020924-detr-segment-detect-100-object-queries-debug
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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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# 020924-detr-segment-detect-100-object-queries-debug
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This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7107
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 200
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.4036 | 0.7692 | 50 | 2.0667 |
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| 2.1551 | 1.5385 | 100 | 1.8018 |
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| 1.8526 | 2.3077 | 150 | 1.7187 |
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| 1.8499 | 3.0769 | 200 | 1.7107 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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