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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chickens |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# chickens |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3492 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 13 | 1.0881 | |
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| No log | 2.0 | 26 | 0.9358 | |
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| 1.0365 | 3.0 | 39 | 0.9215 | |
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| 1.0365 | 4.0 | 52 | 0.9268 | |
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| 0.9112 | 5.0 | 65 | 0.9596 | |
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| 0.9112 | 6.0 | 78 | 0.7592 | |
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| 0.8322 | 7.0 | 91 | 0.8089 | |
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| 0.8322 | 8.0 | 104 | 0.6614 | |
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| 0.8322 | 9.0 | 117 | 0.6783 | |
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| 0.6855 | 10.0 | 130 | 0.7351 | |
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| 0.6855 | 11.0 | 143 | 0.5850 | |
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| 0.6472 | 12.0 | 156 | 0.6359 | |
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| 0.6472 | 13.0 | 169 | 0.5550 | |
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| 0.6054 | 14.0 | 182 | 0.6118 | |
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| 0.6054 | 15.0 | 195 | 0.5439 | |
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| 0.6054 | 16.0 | 208 | 0.4656 | |
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| 0.5285 | 17.0 | 221 | 0.5055 | |
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| 0.5285 | 18.0 | 234 | 0.4901 | |
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| 0.5045 | 19.0 | 247 | 0.4484 | |
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| 0.5045 | 20.0 | 260 | 0.4110 | |
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| 0.4543 | 21.0 | 273 | 0.4308 | |
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| 0.4543 | 22.0 | 286 | 0.3917 | |
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| 0.4543 | 23.0 | 299 | 0.3521 | |
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| 0.434 | 24.0 | 312 | 0.3937 | |
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| 0.434 | 25.0 | 325 | 0.3454 | |
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| 0.4099 | 26.0 | 338 | 0.3603 | |
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| 0.4099 | 27.0 | 351 | 0.3589 | |
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| 0.3998 | 28.0 | 364 | 0.3548 | |
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| 0.3998 | 29.0 | 377 | 0.3474 | |
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| 0.3945 | 30.0 | 390 | 0.3492 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.19.1 |
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