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chickens

Object Detection
Transformers
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Safetensors
detr
Generated from Trainer
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End of training

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  1. README.md +87 -0
  2. model.safetensors +1 -1
  3. runs/Sep20_20-03-33_a24ff83ea297/events.out.tfevents.1726862614.a24ff83ea297.4851.13 +2 -2
README.md ADDED
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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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+
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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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+
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+ # chickens
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+
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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: 0.2712
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 13 | 1.0797 |
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+ | No log | 2.0 | 26 | 0.9240 |
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+ | 1.2171 | 3.0 | 39 | 0.8968 |
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+ | 1.2171 | 4.0 | 52 | 0.8259 |
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+ | 1.0024 | 5.0 | 65 | 0.6886 |
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+ | 1.0024 | 6.0 | 78 | 0.8093 |
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+ | 0.8207 | 7.0 | 91 | 0.6914 |
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+ | 0.8207 | 8.0 | 104 | 0.7140 |
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+ | 0.8207 | 9.0 | 117 | 0.7924 |
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+ | 0.7683 | 10.0 | 130 | 0.6283 |
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+ | 0.7683 | 11.0 | 143 | 0.5530 |
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+ | 0.6573 | 12.0 | 156 | 0.5314 |
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+ | 0.6573 | 13.0 | 169 | 0.4645 |
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+ | 0.5735 | 14.0 | 182 | 0.4223 |
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+ | 0.5735 | 15.0 | 195 | 0.4106 |
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+ | 0.5735 | 16.0 | 208 | 0.3628 |
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+ | 0.5034 | 17.0 | 221 | 0.3549 |
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+ | 0.5034 | 18.0 | 234 | 0.3140 |
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+ | 0.4543 | 19.0 | 247 | 0.3428 |
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+ | 0.4543 | 20.0 | 260 | 0.3007 |
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+ | 0.4191 | 21.0 | 273 | 0.3141 |
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+ | 0.4191 | 22.0 | 286 | 0.3033 |
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+ | 0.4191 | 23.0 | 299 | 0.3005 |
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+ | 0.3863 | 24.0 | 312 | 0.2847 |
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+ | 0.3863 | 25.0 | 325 | 0.2779 |
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+ | 0.3804 | 26.0 | 338 | 0.2726 |
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+ | 0.3804 | 27.0 | 351 | 0.2716 |
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+ | 0.3628 | 28.0 | 364 | 0.2739 |
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+ | 0.3628 | 29.0 | 377 | 0.2719 |
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+ | 0.3613 | 30.0 | 390 | 0.2712 |
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+
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+
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+ ### Framework versions
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+
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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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