---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50_finetuned_detect-waste
  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_detect-waste

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5678
- Dummy: 1

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Dummy |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 2.4218        | 5.26  | 500  | 2.0445          | 1     |
| 2.269         | 10.53 | 1000 | 1.9227          | 1     |
| 1.9898        | 15.79 | 1500 | 1.7609          | 1     |
| 2.0422        | 21.05 | 2000 | 1.6763          | 1     |
| 2.1387        | 26.32 | 2500 | 1.7746          | 1     |
| 1.8163        | 31.58 | 3000 | 1.6525          | 1     |
| 1.7993        | 36.84 | 3500 | 1.6010          | 1     |
| 1.8009        | 42.11 | 4000 | 1.5959          | 1     |
| 1.8148        | 47.37 | 4500 | 1.5332          | 1     |
| 1.7837        | 52.63 | 5000 | 1.5525          | 1     |
| 1.5934        | 57.89 | 5500 | 1.5409          | 1     |
| 1.5357        | 63.16 | 6000 | 1.5678          | 1     |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3