End of training
Browse files- README.md +53 -0
- config.json +31 -11
- model.safetensors +2 -2
- preprocessor_config.json +20 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711446808.6d27588d295c.2382.0 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711448631.6d27588d295c.2382.1 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711449032.6d27588d295c.2382.2 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711451504.6d27588d295c.2382.3 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711451579.6d27588d295c.2382.4 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711451701.6d27588d295c.2382.5 +3 -0
- runs/Mar26_09-53-28_6d27588d295c/events.out.tfevents.1711451734.6d27588d295c.2382.6 +3 -0
- training_args.bin +1 -1
README.md
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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_cppe5
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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_cppe5
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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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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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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},
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"position_embedding_type": "sine",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"id2label": {
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"0": "No finding",
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"1": "Aortic enlargement",
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"2": "Cardiomegaly",
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"3": "Pleural thickening",
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"4": "Pulmonary fibrosis",
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"5": "Nodule/Mass",
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"6": "Lung Opacity",
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"7": "Pleural effusion",
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"8": "Other lesion",
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"9": "Infiltration",
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"10": "ILD",
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"11": "Calcification",
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"12": "Consolidation",
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"13": "Atelectasis",
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"14": "Pneumothorax"
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},
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_encoder_decoder": true,
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"label2id": {
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"Aortic enlargement": 1,
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"Atelectasis": 13,
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"Calcification": 11,
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"Cardiomegaly": 2,
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"Consolidation": 12,
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"ILD": 10,
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"Infiltration": 9,
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"Lung Opacity": 6,
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"No finding": 0,
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"Nodule/Mass": 5,
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"Other lesion": 8,
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"Pleural effusion": 7,
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"Pleural thickening": 3,
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"Pneumothorax": 14,
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"Pulmonary fibrosis": 4
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},
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"position_embedding_type": "sine",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.39.1",
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"use_pretrained_backbone": true,
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"use_timm_backbone": true
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}
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