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--- |
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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-resnet-50_finetuned_plant_disease_detection_processed |
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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-resnet-50_finetuned_plant_disease_detection_processed |
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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: 0.9493 |
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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: 16 |
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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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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 2 |
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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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| 5.9422 | 0.19 | 50 | 5.2172 | |
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| 4.7005 | 0.38 | 100 | 3.7455 | |
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| 3.1157 | 0.57 | 150 | 2.5489 | |
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| 2.0862 | 0.76 | 200 | 1.4877 | |
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| 1.6446 | 0.95 | 250 | 1.1362 | |
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| 1.3925 | 1.14 | 300 | 1.0643 | |
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| 1.3248 | 1.33 | 350 | 1.0942 | |
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| 1.3461 | 1.52 | 400 | 1.0313 | |
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| 1.269 | 1.7 | 450 | 1.0442 | |
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| 1.227 | 1.89 | 500 | 0.9493 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
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