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chickens-300-epoch-200-images

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detr
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  1. README.md +117 -0
  2. model.safetensors +1 -1
  3. runs/Oct08_16-21-09_a2772075c67f/events.out.tfevents.1728404473.a2772075c67f.621.0 +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-300-epoch-200-images
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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-300-epoch-200-images
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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: 0.5365
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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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+ | 1.9097 | 1.0 | 99 | 1.7611 |
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+ | 1.6037 | 2.0 | 198 | 1.5045 |
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+ | 1.5109 | 3.0 | 297 | 1.3585 |
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+ | 1.3272 | 4.0 | 396 | 1.2303 |
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+ | 1.3035 | 5.0 | 495 | 1.2142 |
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+ | 1.1962 | 6.0 | 594 | 1.1744 |
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+ | 1.1761 | 7.0 | 693 | 1.0835 |
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+ | 1.1091 | 8.0 | 792 | 1.0690 |
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+ | 1.1074 | 9.0 | 891 | 1.0030 |
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+ | 0.9913 | 10.0 | 990 | 0.9990 |
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+ | 0.9685 | 11.0 | 1089 | 0.9787 |
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+ | 0.9439 | 12.0 | 1188 | 0.9659 |
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+ | 0.9102 | 13.0 | 1287 | 0.9237 |
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+ | 0.9849 | 14.0 | 1386 | 0.8619 |
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+ | 0.8692 | 15.0 | 1485 | 0.8463 |
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+ | 0.833 | 16.0 | 1584 | 0.8279 |
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+ | 0.8148 | 17.0 | 1683 | 0.7647 |
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+ | 0.7309 | 18.0 | 1782 | 0.8500 |
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+ | 0.7024 | 19.0 | 1881 | 0.7294 |
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+ | 0.73 | 20.0 | 1980 | 0.7389 |
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+ | 0.7115 | 21.0 | 2079 | 0.7617 |
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+ | 0.6883 | 22.0 | 2178 | 0.8105 |
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+ | 0.7151 | 23.0 | 2277 | 0.6843 |
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+ | 0.6598 | 24.0 | 2376 | 0.7199 |
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+ | 0.762 | 25.0 | 2475 | 0.6930 |
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+ | 0.6331 | 26.0 | 2574 | 0.6905 |
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+ | 0.6141 | 27.0 | 2673 | 0.6327 |
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+ | 0.6014 | 28.0 | 2772 | 0.6516 |
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+ | 0.5935 | 29.0 | 2871 | 0.6052 |
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+ | 0.557 | 30.0 | 2970 | 0.5846 |
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+ | 0.6292 | 31.0 | 3069 | 0.5857 |
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+ | 0.5536 | 32.0 | 3168 | 0.5905 |
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+ | 0.5309 | 33.0 | 3267 | 0.6030 |
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+ | 0.5065 | 34.0 | 3366 | 0.5743 |
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+ | 0.5429 | 35.0 | 3465 | 0.5699 |
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+ | 0.4981 | 36.0 | 3564 | 0.5755 |
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+ | 0.5184 | 37.0 | 3663 | 0.5689 |
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+ | 0.5338 | 38.0 | 3762 | 0.5646 |
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+ | 0.5218 | 39.0 | 3861 | 0.5688 |
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+ | 0.5102 | 40.0 | 3960 | 0.5738 |
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+ | 0.5052 | 41.0 | 4059 | 0.5599 |
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+ | 0.4897 | 42.0 | 4158 | 0.5454 |
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+ | 0.4916 | 43.0 | 4257 | 0.5393 |
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+ | 0.4696 | 44.0 | 4356 | 0.5470 |
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+ | 0.494 | 45.0 | 4455 | 0.5516 |
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+ | 0.465 | 46.0 | 4554 | 0.5459 |
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+ | 0.4733 | 47.0 | 4653 | 0.5483 |
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+ | 0.4929 | 48.0 | 4752 | 0.5316 |
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+ | 0.4822 | 49.0 | 4851 | 0.5306 |
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+ | 0.4594 | 50.0 | 4950 | 0.5351 |
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+ | 0.4598 | 51.0 | 5049 | 0.5348 |
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+ | 0.4511 | 52.0 | 5148 | 0.5432 |
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+ | 0.4561 | 53.0 | 5247 | 0.5467 |
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+ | 0.4653 | 54.0 | 5346 | 0.5444 |
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+ | 0.4475 | 55.0 | 5445 | 0.5423 |
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+ | 0.4734 | 56.0 | 5544 | 0.5368 |
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+ | 0.4815 | 57.0 | 5643 | 0.5363 |
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+ | 0.4365 | 58.0 | 5742 | 0.5366 |
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+ | 0.4596 | 59.0 | 5841 | 0.5365 |
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+ | 0.4757 | 60.0 | 5940 | 0.5365 |
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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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