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chickens-60

Object Detection
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detr
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  1. README.md +117 -0
  2. model.safetensors +1 -1
  3. runs/Oct08_06-03-09_c1ec6288a16a/events.out.tfevents.1728367392.c1ec6288a16a.1844.0 +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-60
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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-60
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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: 0.2445
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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: 1e-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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+ | 1.1031 | 1.0 | 497 | 0.9868 |
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+ | 0.7476 | 2.0 | 994 | 0.6725 |
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+ | 0.6123 | 3.0 | 1491 | 0.7112 |
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+ | 0.576 | 4.0 | 1988 | 0.4941 |
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+ | 0.4914 | 5.0 | 2485 | 0.4320 |
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+ | 0.4722 | 6.0 | 2982 | 0.3852 |
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+ | 0.4893 | 7.0 | 3479 | 0.4150 |
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+ | 0.4411 | 8.0 | 3976 | 0.4270 |
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+ | 0.4039 | 9.0 | 4473 | 0.3440 |
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+ | 0.4182 | 10.0 | 4970 | 0.3521 |
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+ | 0.4056 | 11.0 | 5467 | 0.3263 |
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+ | 0.3723 | 12.0 | 5964 | 0.3328 |
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+ | 0.3584 | 13.0 | 6461 | 0.3265 |
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+ | 0.3497 | 14.0 | 6958 | 0.3627 |
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+ | 0.3521 | 15.0 | 7455 | 0.3201 |
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+ | 0.3515 | 16.0 | 7952 | 0.3582 |
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+ | 0.3424 | 17.0 | 8449 | 0.3191 |
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+ | 0.3754 | 18.0 | 8946 | 0.3132 |
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+ | 0.3278 | 19.0 | 9443 | 0.3085 |
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+ | 0.3105 | 20.0 | 9940 | 0.2860 |
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+ | 0.3048 | 21.0 | 10437 | 0.3004 |
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+ | 0.3078 | 22.0 | 10934 | 0.2912 |
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+ | 0.3105 | 23.0 | 11431 | 0.2940 |
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+ | 0.3099 | 24.0 | 11928 | 0.2946 |
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+ | 0.3005 | 25.0 | 12425 | 0.2868 |
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+ | 0.2984 | 26.0 | 12922 | 0.2739 |
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+ | 0.3072 | 27.0 | 13419 | 0.2866 |
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+ | 0.2872 | 28.0 | 13916 | 0.2832 |
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+ | 0.2921 | 29.0 | 14413 | 0.2720 |
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+ | 0.2939 | 30.0 | 14910 | 0.2894 |
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+ | 0.2957 | 31.0 | 15407 | 0.2549 |
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+ | 0.2792 | 32.0 | 15904 | 0.2662 |
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+ | 0.2846 | 33.0 | 16401 | 0.2723 |
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+ | 0.2917 | 34.0 | 16898 | 0.2717 |
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+ | 0.2711 | 35.0 | 17395 | 0.2655 |
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+ | 0.2591 | 36.0 | 17892 | 0.2641 |
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+ | 0.2618 | 37.0 | 18389 | 0.2558 |
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+ | 0.2833 | 38.0 | 18886 | 0.2574 |
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+ | 0.2525 | 39.0 | 19383 | 0.2682 |
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+ | 0.2618 | 40.0 | 19880 | 0.2649 |
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+ | 0.2561 | 41.0 | 20377 | 0.2513 |
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+ | 0.2623 | 42.0 | 20874 | 0.2578 |
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+ | 0.2518 | 43.0 | 21371 | 0.2602 |
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+ | 0.2478 | 44.0 | 21868 | 0.2506 |
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+ | 0.2495 | 45.0 | 22365 | 0.2576 |
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+ | 0.2324 | 46.0 | 22862 | 0.2407 |
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+ | 0.2343 | 47.0 | 23359 | 0.2570 |
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+ | 0.2545 | 48.0 | 23856 | 0.2497 |
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+ | 0.2243 | 49.0 | 24353 | 0.2468 |
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+ | 0.2478 | 50.0 | 24850 | 0.2524 |
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+ | 0.2296 | 51.0 | 25347 | 0.2477 |
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+ | 0.2462 | 52.0 | 25844 | 0.2540 |
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+ | 0.2504 | 53.0 | 26341 | 0.2513 |
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+ | 0.2493 | 54.0 | 26838 | 0.2509 |
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+ | 0.2258 | 55.0 | 27335 | 0.2451 |
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+ | 0.2545 | 56.0 | 27832 | 0.2433 |
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+ | 0.2463 | 57.0 | 28329 | 0.2444 |
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+ | 0.236 | 58.0 | 28826 | 0.2444 |
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+ | 0.2444 | 59.0 | 29323 | 0.2445 |
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+ | 0.231 | 60.0 | 29820 | 0.2445 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.20.0
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