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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: 0.3492
## 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 | 1.0881 |
| No log | 2.0 | 26 | 0.9358 |
| 1.0365 | 3.0 | 39 | 0.9215 |
| 1.0365 | 4.0 | 52 | 0.9268 |
| 0.9112 | 5.0 | 65 | 0.9596 |
| 0.9112 | 6.0 | 78 | 0.7592 |
| 0.8322 | 7.0 | 91 | 0.8089 |
| 0.8322 | 8.0 | 104 | 0.6614 |
| 0.8322 | 9.0 | 117 | 0.6783 |
| 0.6855 | 10.0 | 130 | 0.7351 |
| 0.6855 | 11.0 | 143 | 0.5850 |
| 0.6472 | 12.0 | 156 | 0.6359 |
| 0.6472 | 13.0 | 169 | 0.5550 |
| 0.6054 | 14.0 | 182 | 0.6118 |
| 0.6054 | 15.0 | 195 | 0.5439 |
| 0.6054 | 16.0 | 208 | 0.4656 |
| 0.5285 | 17.0 | 221 | 0.5055 |
| 0.5285 | 18.0 | 234 | 0.4901 |
| 0.5045 | 19.0 | 247 | 0.4484 |
| 0.5045 | 20.0 | 260 | 0.4110 |
| 0.4543 | 21.0 | 273 | 0.4308 |
| 0.4543 | 22.0 | 286 | 0.3917 |
| 0.4543 | 23.0 | 299 | 0.3521 |
| 0.434 | 24.0 | 312 | 0.3937 |
| 0.434 | 25.0 | 325 | 0.3454 |
| 0.4099 | 26.0 | 338 | 0.3603 |
| 0.4099 | 27.0 | 351 | 0.3589 |
| 0.3998 | 28.0 | 364 | 0.3548 |
| 0.3998 | 29.0 | 377 | 0.3474 |
| 0.3945 | 30.0 | 390 | 0.3492 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1
|