End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/conditional-detr-resnet-50
+tags:
+- generated_from_trainer
+model-index:
+- name: detr_finetuned_cppe5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# detr_finetuned_cppe5
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.7386
+- Map: 0.021
+- Map 50: 0.0429
+- Map 75: 0.0201
+- Map Small: 0.0058
+- Map Medium: 0.0177
+- Map Large: 0.0252
+- Mar 1: 0.0523
+- Mar 10: 0.1319
+- Mar 100: 0.1741
+- Mar Small: 0.0602
+- Mar Medium: 0.1263
+- Mar Large: 0.227
+- Map Coverall: 0.0847
+- Mar 100 Coverall: 0.4302
+- Map Face Shield: 0.0035
+- Mar 100 Face Shield: 0.0608
+- Map Gloves: 0.0011
+- Mar 100 Gloves: 0.1085
+- Map Goggles: 0.001
+- Mar 100 Goggles: 0.0292
+- Map Mask: 0.0148
+- Mar 100 Mask: 0.2418
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Map    | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1  | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
+| No log        | 1.0   | 107  | 1.9340          | 0.0138 | 0.0289 | 0.013  | 0.0007    | 0.013      | 0.0192    | 0.0285 | 0.081  | 0.1246  | 0.0206    | 0.0915     | 0.1533    | 0.0604       | 0.3464           | 0.0003          | 0.0354              | 0.0008     | 0.0915         | 0.001       | 0.0215          | 0.0067   | 0.128        |
+| No log        | 2.0   | 214  | 1.7386          | 0.021  | 0.0429 | 0.0201 | 0.0058    | 0.0177     | 0.0252    | 0.0523 | 0.1319 | 0.1741  | 0.0602    | 0.1263     | 0.227     | 0.0847       | 0.4302           | 0.0035          | 0.0608              | 0.0011     | 0.1085         | 0.001       | 0.0292          | 0.0148   | 0.2418       |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0