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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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<!-- 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-60 |
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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: 0.2476 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.2826 | 1.0 | 497 | 1.1718 | |
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| 1.0565 | 2.0 | 994 | 0.9496 | |
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| 0.8699 | 3.0 | 1491 | 0.8140 | |
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| 0.9199 | 4.0 | 1988 | 0.7631 | |
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| 0.7011 | 5.0 | 2485 | 0.6355 | |
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| 0.7246 | 6.0 | 2982 | 0.6444 | |
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| 0.5952 | 7.0 | 3479 | 0.5118 | |
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| 0.5584 | 8.0 | 3976 | 0.4591 | |
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| 0.4884 | 9.0 | 4473 | 0.4302 | |
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| 0.4804 | 10.0 | 4970 | 0.4176 | |
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| 0.4511 | 11.0 | 5467 | 0.3914 | |
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| 0.4124 | 12.0 | 5964 | 0.3830 | |
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| 0.4182 | 13.0 | 6461 | 0.3754 | |
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| 0.4103 | 14.0 | 6958 | 0.3583 | |
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| 0.4037 | 15.0 | 7455 | 0.3451 | |
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| 0.3983 | 16.0 | 7952 | 0.3453 | |
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| 0.3606 | 17.0 | 8449 | 0.3426 | |
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| 0.3885 | 18.0 | 8946 | 0.3436 | |
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| 0.3713 | 19.0 | 9443 | 0.3321 | |
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| 0.339 | 20.0 | 9940 | 0.3199 | |
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| 0.3345 | 21.0 | 10437 | 0.3119 | |
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| 0.3215 | 22.0 | 10934 | 0.3189 | |
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| 0.353 | 23.0 | 11431 | 0.3031 | |
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| 0.338 | 24.0 | 11928 | 0.3152 | |
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| 0.3183 | 25.0 | 12425 | 0.3113 | |
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| 0.3219 | 26.0 | 12922 | 0.2882 | |
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| 0.3128 | 27.0 | 13419 | 0.2872 | |
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| 0.3032 | 28.0 | 13916 | 0.2876 | |
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| 0.3129 | 29.0 | 14413 | 0.2835 | |
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| 0.3062 | 30.0 | 14910 | 0.2832 | |
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| 0.3214 | 31.0 | 15407 | 0.2668 | |
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| 0.2891 | 32.0 | 15904 | 0.2838 | |
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| 0.297 | 33.0 | 16401 | 0.2756 | |
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| 0.296 | 34.0 | 16898 | 0.2753 | |
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| 0.2882 | 35.0 | 17395 | 0.2706 | |
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| 0.2704 | 36.0 | 17892 | 0.2644 | |
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| 0.2709 | 37.0 | 18389 | 0.2643 | |
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| 0.2852 | 38.0 | 18886 | 0.2640 | |
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| 0.259 | 39.0 | 19383 | 0.2698 | |
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| 0.276 | 40.0 | 19880 | 0.2602 | |
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| 0.2867 | 41.0 | 20377 | 0.2499 | |
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| 0.2986 | 42.0 | 20874 | 0.2672 | |
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| 0.2577 | 43.0 | 21371 | 0.2577 | |
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| 0.2583 | 44.0 | 21868 | 0.2487 | |
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| 0.2599 | 45.0 | 22365 | 0.2570 | |
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| 0.2498 | 46.0 | 22862 | 0.2529 | |
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| 0.2496 | 47.0 | 23359 | 0.2522 | |
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| 0.2596 | 48.0 | 23856 | 0.2568 | |
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| 0.2352 | 49.0 | 24353 | 0.2525 | |
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| 0.2552 | 50.0 | 24850 | 0.2452 | |
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| 0.2428 | 51.0 | 25347 | 0.2496 | |
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| 0.2538 | 52.0 | 25844 | 0.2483 | |
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| 0.2657 | 53.0 | 26341 | 0.2510 | |
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| 0.2532 | 54.0 | 26838 | 0.2510 | |
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| 0.2412 | 55.0 | 27335 | 0.2485 | |
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| 0.2822 | 56.0 | 27832 | 0.2491 | |
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| 0.2694 | 57.0 | 28329 | 0.2482 | |
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| 0.249 | 58.0 | 28826 | 0.2479 | |
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| 0.2408 | 59.0 | 29323 | 0.2477 | |
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| 0.2345 | 60.0 | 29820 | 0.2476 | |
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### Framework versions |
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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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