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: 2.3956
+- Map: 0.0065
+- Map 50: 0.0182
+- Map 75: 0.0036
+- Map Small: 0.0006
+- Map Medium: 0.014
+- Map Large: 0.007
+- Mar 1: 0.0123
+- Mar 10: 0.0366
+- Mar 100: 0.067
+- Mar Small: 0.0072
+- Mar Medium: 0.0388
+- Mar Large: 0.0714
+- Map Coverall: 0.0323
+- Mar 100 Coverall: 0.3018
+- Map Face Shield: 0.0
+- Mar 100 Face Shield: 0.0
+- Map Gloves: 0.0001
+- Mar 100 Gloves: 0.0165
+- Map Goggles: 0.0
+- Mar 100 Goggles: 0.0062
+- Map Mask: 0.0
+- Mar 100 Mask: 0.0107
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 3
+
+### 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  | 2.6211          | 0.0025 | 0.0088 | 0.0008 | 0.0       | 0.008      | 0.0025    | 0.0098 | 0.0172 | 0.0569  | 0.0       | 0.0309     | 0.0621    | 0.0124       | 0.2802           | 0.0             | 0.0025              | 0.0        | 0.0004         | 0.0         | 0.0015          | 0.0      | 0.0          |
+| No log        | 2.0   | 214  | 2.4397          | 0.0058 | 0.0156 | 0.0032 | 0.0004    | 0.014      | 0.0062    | 0.0081 | 0.0352 | 0.0525  | 0.0098    | 0.0338     | 0.0524    | 0.0287       | 0.2297           | 0.0             | 0.0                 | 0.0001     | 0.029          | 0.0         | 0.0             | 0.0      | 0.0036       |
+| No log        | 3.0   | 321  | 2.3956          | 0.0065 | 0.0182 | 0.0036 | 0.0006    | 0.014      | 0.007     | 0.0123 | 0.0366 | 0.067   | 0.0072    | 0.0388     | 0.0714    | 0.0323       | 0.3018           | 0.0             | 0.0                 | 0.0001     | 0.0165         | 0.0         | 0.0062          | 0.0      | 0.0107       |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0