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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
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