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joe611
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chickens-repro-4

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detr
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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-repro-4
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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-repro-4
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2536
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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: 2
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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: 60
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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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+ | 1.2251 | 1.0 | 227 | 1.1143 |
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+ | 1.1432 | 2.0 | 454 | 1.3992 |
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+ | 1.0496 | 3.0 | 681 | 0.9853 |
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+ | 0.9896 | 4.0 | 908 | 0.7757 |
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+ | 0.8727 | 5.0 | 1135 | 0.7749 |
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+ | 0.7478 | 6.0 | 1362 | 0.7531 |
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+ | 0.694 | 7.0 | 1589 | 0.5933 |
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+ | 0.7923 | 8.0 | 1816 | 0.6223 |
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+ | 0.8413 | 9.0 | 2043 | 0.6116 |
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+ | 0.8007 | 10.0 | 2270 | 0.8077 |
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+ | 0.7769 | 11.0 | 2497 | 0.7307 |
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+ | 0.7564 | 12.0 | 2724 | 0.6538 |
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+ | 0.7178 | 13.0 | 2951 | 0.5011 |
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+ | 0.724 | 14.0 | 3178 | 0.7358 |
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+ | 0.7586 | 15.0 | 3405 | 0.6229 |
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+ | 0.7284 | 16.0 | 3632 | 0.6627 |
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+ | 0.6092 | 17.0 | 3859 | 0.5987 |
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+ | 0.6531 | 18.0 | 4086 | 0.6447 |
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+ | 0.5879 | 19.0 | 4313 | 0.4965 |
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+ | 0.62 | 20.0 | 4540 | 0.4803 |
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+ | 0.5851 | 21.0 | 4767 | 0.5303 |
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+ | 0.5981 | 22.0 | 4994 | 0.4260 |
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+ | 0.5593 | 23.0 | 5221 | 0.4870 |
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+ | 0.6139 | 24.0 | 5448 | 0.4931 |
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+ | 0.5381 | 25.0 | 5675 | 0.4639 |
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+ | 0.5569 | 26.0 | 5902 | 0.4438 |
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+ | 0.5432 | 27.0 | 6129 | 0.4747 |
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+ | 0.5557 | 28.0 | 6356 | 0.4214 |
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+ | 0.4997 | 29.0 | 6583 | 0.4308 |
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+ | 0.5008 | 30.0 | 6810 | 0.3995 |
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+ | 0.4966 | 31.0 | 7037 | 0.3612 |
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+ | 0.4636 | 32.0 | 7264 | 0.4262 |
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+ | 0.4566 | 33.0 | 7491 | 0.3896 |
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+ | 0.4301 | 34.0 | 7718 | 0.3916 |
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+ | 0.4501 | 35.0 | 7945 | 0.3290 |
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+ | 0.4454 | 36.0 | 8172 | 0.3854 |
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+ | 0.4313 | 37.0 | 8399 | 0.3072 |
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+ | 0.4004 | 38.0 | 8626 | 0.3387 |
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+ | 0.3943 | 39.0 | 8853 | 0.3349 |
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+ | 0.397 | 40.0 | 9080 | 0.2835 |
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+ | 0.3962 | 41.0 | 9307 | 0.2743 |
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+ | 0.3924 | 42.0 | 9534 | 0.3099 |
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+ | 0.373 | 43.0 | 9761 | 0.2811 |
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+ | 0.3567 | 44.0 | 9988 | 0.2673 |
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+ | 0.3675 | 45.0 | 10215 | 0.2863 |
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+ | 0.3687 | 46.0 | 10442 | 0.2822 |
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+ | 0.3495 | 47.0 | 10669 | 0.2650 |
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+ | 0.3413 | 48.0 | 10896 | 0.2669 |
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+ | 0.3495 | 49.0 | 11123 | 0.2664 |
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+ | 0.3208 | 50.0 | 11350 | 0.2788 |
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+ | 0.3348 | 51.0 | 11577 | 0.2763 |
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+ | 0.34 | 52.0 | 11804 | 0.2615 |
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+ | 0.3595 | 53.0 | 12031 | 0.2553 |
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+ | 0.3319 | 54.0 | 12258 | 0.2588 |
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+ | 0.342 | 55.0 | 12485 | 0.2597 |
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+ | 0.3329 | 56.0 | 12712 | 0.2542 |
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+ | 0.3357 | 57.0 | 12939 | 0.2543 |
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+ | 0.3364 | 58.0 | 13166 | 0.2504 |
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+ | 0.3278 | 59.0 | 13393 | 0.2535 |
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+ | 0.3351 | 60.0 | 13620 | 0.2536 |
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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 2.19.2
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+ - Tokenizers 0.19.1
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