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-arrows
+  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-arrows
+
+This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5339
+- Map: 0.0072
+- Map 50: 0.0236
+- Map 75: 0.0017
+- Map Small: 0.0075
+- Map Medium: -1.0
+- Map Large: -1.0
+- Mar 1: 0.0248
+- Mar 10: 0.1156
+- Mar 100: 0.1915
+- Mar Small: 0.1915
+- Mar Medium: -1.0
+- Mar Large: -1.0
+- Map Left: 0.0147
+- Mar 100 Left: 0.4532
+- Map Right: 0.0071
+- Mar 100 Right: 0.1352
+- Map Up: 0.0
+- Mar 100 Up: 0.0
+- Map Down: 0.0143
+- Mar 100 Down: 0.369
+- Map ?: 0.0
+- Mar 100 ?: 0.0
+
+## 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 Left | Mar 100 Left | Map Right | Mar 100 Right | Map Up | Mar 100 Up | Map Down | Mar 100 Down | Map ? | Mar 100 ? |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------:|:------------:|:---------:|:-------------:|:------:|:----------:|:--------:|:------------:|:-----:|:---------:|
+| No log        | 1.0   | 8    | 11.7538         | 0.0024 | 0.0086 | 0.0004 | 0.0025    | -1.0       | -1.0      | 0.0097 | 0.0534 | 0.119   | 0.119     | -1.0       | -1.0      | 0.0079   | 0.3915       | 0.0       | 0.0           | 0.0    | 0.0        | 0.0043   | 0.2034       | 0.0   | 0.0       |
+| No log        | 2.0   | 16   | 6.2166          | 0.0049 | 0.0154 | 0.0007 | 0.0051    | -1.0       | -1.0      | 0.0201 | 0.0864 | 0.1535  | 0.1535    | -1.0       | -1.0      | 0.0095   | 0.4085       | 0.0026    | 0.0833        | 0.0    | 0.0        | 0.0125   | 0.2759       | 0.0   | 0.0       |
+| No log        | 3.0   | 24   | 5.5339          | 0.0072 | 0.0236 | 0.0017 | 0.0075    | -1.0       | -1.0      | 0.0248 | 0.1156 | 0.1915  | 0.1915    | -1.0       | -1.0      | 0.0147   | 0.4532       | 0.0071    | 0.1352        | 0.0    | 0.0        | 0.0143   | 0.369        | 0.0   | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0