End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/detr-resnet-50
+tags:
+- generated_from_trainer
+model-index:
+- name: detr-resnet-50_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-resnet-50_finetuned-cppe5
+
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0411
+- Map: 0.0466
+- Map 50: 0.09
+- Map 75: 0.0422
+- Map Small: 0.0078
+- Map Medium: 0.0211
+- Map Large: 0.0521
+- Mar 1: 0.0896
+- Mar 10: 0.1876
+- Mar 100: 0.2364
+- Mar Small: 0.127
+- Mar Medium: 0.1881
+- Mar Large: 0.2352
+- Map Coverall: 0.1967
+- Mar 100 Coverall: 0.6567
+- Map Face Shield: 0.0
+- Mar 100 Face Shield: 0.0
+- Map Gloves: 0.0138
+- Mar 100 Gloves: 0.2483
+- Map Goggles: 0.0
+- Mar 100 Goggles: 0.0
+- Map Mask: 0.0224
+- Mar 100 Mask: 0.2772
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- 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  | 2.2595          | 0.0312 | 0.0732 | 0.0242 | 0.0028    | 0.021      | 0.0329    | 0.0605 | 0.1486 | 0.1888  | 0.092     | 0.1638     | 0.1683    | 0.1421       | 0.5294           | 0.0             | 0.0                 | 0.0041     | 0.1848         | 0.0         | 0.0             | 0.0099   | 0.2296       |
+| No log        | 2.0   | 214  | 2.0411          | 0.0466 | 0.09   | 0.0422 | 0.0078    | 0.0211     | 0.0521    | 0.0896 | 0.1876 | 0.2364  | 0.127     | 0.1881     | 0.2352    | 0.1967       | 0.6567           | 0.0             | 0.0                 | 0.0138     | 0.2483         | 0.0         | 0.0             | 0.0224   | 0.2772       |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1