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---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens
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. -->
# chickens
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: 0.2712
## 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: cosine
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 13 | 1.0797 |
| No log | 2.0 | 26 | 0.9240 |
| 1.2171 | 3.0 | 39 | 0.8968 |
| 1.2171 | 4.0 | 52 | 0.8259 |
| 1.0024 | 5.0 | 65 | 0.6886 |
| 1.0024 | 6.0 | 78 | 0.8093 |
| 0.8207 | 7.0 | 91 | 0.6914 |
| 0.8207 | 8.0 | 104 | 0.7140 |
| 0.8207 | 9.0 | 117 | 0.7924 |
| 0.7683 | 10.0 | 130 | 0.6283 |
| 0.7683 | 11.0 | 143 | 0.5530 |
| 0.6573 | 12.0 | 156 | 0.5314 |
| 0.6573 | 13.0 | 169 | 0.4645 |
| 0.5735 | 14.0 | 182 | 0.4223 |
| 0.5735 | 15.0 | 195 | 0.4106 |
| 0.5735 | 16.0 | 208 | 0.3628 |
| 0.5034 | 17.0 | 221 | 0.3549 |
| 0.5034 | 18.0 | 234 | 0.3140 |
| 0.4543 | 19.0 | 247 | 0.3428 |
| 0.4543 | 20.0 | 260 | 0.3007 |
| 0.4191 | 21.0 | 273 | 0.3141 |
| 0.4191 | 22.0 | 286 | 0.3033 |
| 0.4191 | 23.0 | 299 | 0.3005 |
| 0.3863 | 24.0 | 312 | 0.2847 |
| 0.3863 | 25.0 | 325 | 0.2779 |
| 0.3804 | 26.0 | 338 | 0.2726 |
| 0.3804 | 27.0 | 351 | 0.2716 |
| 0.3628 | 28.0 | 364 | 0.2739 |
| 0.3628 | 29.0 | 377 | 0.2719 |
| 0.3613 | 30.0 | 390 | 0.2712 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1
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