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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: 0.2124
## 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 | 23 | 0.9087 |
| 1.1031 | 2.0 | 46 | 0.8311 |
| 0.9027 | 3.0 | 69 | 0.6971 |
| 0.7561 | 4.0 | 92 | 0.5537 |
| 0.7561 | 5.0 | 115 | 0.4770 |
| 0.6238 | 6.0 | 138 | 0.4349 |
| 0.5385 | 7.0 | 161 | 0.3924 |
| 0.4759 | 8.0 | 184 | 0.3603 |
| 0.4759 | 9.0 | 207 | 0.3261 |
| 0.4367 | 10.0 | 230 | 0.3306 |
| 0.4199 | 11.0 | 253 | 0.3442 |
| 0.3988 | 12.0 | 276 | 0.2995 |
| 0.3988 | 13.0 | 299 | 0.3219 |
| 0.3887 | 14.0 | 322 | 0.2768 |
| 0.3808 | 15.0 | 345 | 0.2574 |
| 0.3673 | 16.0 | 368 | 0.2715 |
| 0.3354 | 17.0 | 391 | 0.3126 |
| 0.3354 | 18.0 | 414 | 0.2536 |
| 0.3347 | 19.0 | 437 | 0.2362 |
| 0.3287 | 20.0 | 460 | 0.2539 |
| 0.3325 | 21.0 | 483 | 0.2341 |
| 0.3325 | 22.0 | 506 | 0.2173 |
| 0.3196 | 23.0 | 529 | 0.2180 |
| 0.3091 | 24.0 | 552 | 0.2166 |
| 0.3111 | 25.0 | 575 | 0.2264 |
| 0.3111 | 26.0 | 598 | 0.2070 |
| 0.2983 | 27.0 | 621 | 0.2177 |
| 0.2946 | 28.0 | 644 | 0.2080 |
| 0.3068 | 29.0 | 667 | 0.2113 |
| 0.2933 | 30.0 | 690 | 0.2124 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1
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