qubvel-hf HF staff commited on
Commit
30d79f2
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1 Parent(s): 311cf96

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
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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: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/70ip6xxy)
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  # microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3455
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  - Map: 0.2991
@@ -59,7 +61,7 @@ More information needed
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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: 8
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- - eval_batch_size: 8
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  - seed: 1337
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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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  license: apache-2.0
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  base_model: microsoft/conditional-detr-resnet-50
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  tags:
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+ - object-detection
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+ - vision
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  - generated_from_trainer
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  model-index:
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  - name: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/70ip6xxy)
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  # microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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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 cppe-5 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3455
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  - Map: 0.2991
 
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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: 8
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+ - eval_batch_size: 1
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  - seed: 1337
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
all_results.json CHANGED
@@ -26,35 +26,35 @@
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  "eval_runtime": 6.2922,
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  "eval_samples_per_second": 23.839,
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  "eval_steps_per_second": 3.02,
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- "test_loss": 1.2219938039779663,
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- "train_steps_per_second": 1.97
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  }
 
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  "eval_runtime": 6.2922,
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  "eval_samples_per_second": 23.839,
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  "eval_steps_per_second": 3.02,
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+ "test_loss": 1.2524553537368774,
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  "total_flos": 2.3505198523920773e+19,
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  }
test_results.json CHANGED
@@ -1,29 +1,29 @@
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  {
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  }
 
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train_results.json CHANGED
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trainer_state.json CHANGED
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