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_v3
+  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_v3
+
+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: 1.9705
+- Map: 0.0365
+- Map 50: 0.0659
+- Map 75: 0.0314
+- Map Small: 0.0246
+- Map Medium: 0.0509
+- Map Large: 0.0322
+- Mar 1: 0.0971
+- Mar 10: 0.1951
+- Mar 100: 0.254
+- Mar Small: 0.159
+- Mar Medium: 0.2148
+- Mar Large: 0.2409
+- Map Coverall: 0.1365
+- Mar 100 Coverall: 0.7359
+- Map Face Shield: 0.0
+- Mar 100 Face Shield: 0.0
+- Map Gloves: 0.0185
+- Mar 100 Gloves: 0.2527
+- Map Goggles: 0.0
+- Mar 100 Goggles: 0.0
+- Map Mask: 0.0273
+- Mar 100 Mask: 0.2812
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
+| 2.7292        | 1.0   | 113  | 2.1368          | 0.0256 | 0.0501 | 0.0217 | 0.0132    | 0.0493     | 0.0237    | 0.0661 | 0.1598 | 0.2091  | 0.1032    | 0.1797     | 0.2083    | 0.0946       | 0.6393           | 0.0             | 0.0                 | 0.0091     | 0.1759         | 0.0         | 0.0             | 0.0244   | 0.2305       |
+| 2.1942        | 2.0   | 226  | 1.9705          | 0.0365 | 0.0659 | 0.0314 | 0.0246    | 0.0509     | 0.0322    | 0.0971 | 0.1951 | 0.254   | 0.159     | 0.2148     | 0.2409    | 0.1365       | 0.7359           | 0.0             | 0.0                 | 0.0185     | 0.2527         | 0.0         | 0.0             | 0.0273   | 0.2812       |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep02_22-48-19_IISC143/events.out.tfevents.1725288500.IISC143.8272.2

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