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: 1.7756
+- Map: 0.0254
+- Map 50: 0.0575
+- Map 75: 0.0211
+- Map Small: 0.015
+- Map Medium: 0.0121
+- Map Large: 0.0356
+- Mar 1: 0.0618
+- Mar 10: 0.1553
+- Mar 100: 0.1996
+- Mar Small: 0.0818
+- Mar Medium: 0.1728
+- Mar Large: 0.2326
+- Map Coverall: 0.0809
+- Mar 100 Coverall: 0.4441
+- Map Face Shield: 0.0051
+- Mar 100 Face Shield: 0.1025
+- Map Gloves: 0.0031
+- Mar 100 Gloves: 0.1482
+- Map Goggles: 0.0022
+- Mar 100 Goggles: 0.0585
+- Map Mask: 0.0358
+- Mar 100 Mask: 0.2444
+
+## 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  | 1.9010          | 0.0125 | 0.0389 | 0.0069 | 0.0123    | 0.0077     | 0.0195    | 0.036  | 0.0972 | 0.1374  | 0.0633    | 0.1291     | 0.1645    | 0.0309       | 0.2302           | 0.0065          | 0.1076              | 0.0022     | 0.1348         | 0.0002      | 0.0077          | 0.0225   | 0.2067       |
+| No log        | 2.0   | 214  | 1.7756          | 0.0254 | 0.0575 | 0.0211 | 0.015     | 0.0121     | 0.0356    | 0.0618 | 0.1553 | 0.1996  | 0.0818    | 0.1728     | 0.2326    | 0.0809       | 0.4441           | 0.0051          | 0.1025              | 0.0031     | 0.1482         | 0.0022      | 0.0585          | 0.0358   | 0.2444       |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4