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End of training

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  1. README.md +82 -0
  2. model.safetensors +1 -1
  3. trainer_state.json +378 -0
README.md ADDED
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+ ---
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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: detr-r50-mist1-bg-2ah-6l
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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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+ # detr-r50-mist1-bg-2ah-6l
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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: 3.9051
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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: 4
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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: linear
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+ - num_epochs: 25
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+ - mixed_precision_training: Native AMP
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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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+ | 4.6721 | 1.0 | 115 | 5.0032 |
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+ | 4.4438 | 2.0 | 230 | 4.6797 |
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+ | 4.2953 | 3.0 | 345 | 4.7027 |
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+ | 4.3899 | 4.0 | 460 | 5.4316 |
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+ | 4.3184 | 5.0 | 575 | 4.4125 |
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+ | 4.2749 | 6.0 | 690 | 4.1611 |
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+ | 4.2153 | 7.0 | 805 | 4.6723 |
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+ | 4.0788 | 8.0 | 920 | 4.1266 |
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+ | 4.0752 | 9.0 | 1035 | 4.0529 |
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+ | 4.0073 | 10.0 | 1150 | 4.4483 |
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+ | 4.011 | 11.0 | 1265 | 4.2002 |
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+ | 3.9993 | 12.0 | 1380 | 4.2450 |
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+ | 4.0028 | 13.0 | 1495 | 4.1703 |
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+ | 3.9572 | 14.0 | 1610 | 4.1861 |
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+ | 3.9009 | 15.0 | 1725 | 4.0285 |
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+ | 3.9173 | 16.0 | 1840 | 4.0673 |
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+ | 3.8884 | 17.0 | 1955 | 3.9875 |
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+ | 3.8415 | 18.0 | 2070 | 4.1062 |
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+ | 3.8132 | 19.0 | 2185 | 4.0494 |
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+ | 3.8297 | 20.0 | 2300 | 4.0119 |
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+ | 3.8262 | 21.0 | 2415 | 3.9538 |
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+ | 3.8045 | 22.0 | 2530 | 3.9500 |
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+ | 3.8067 | 23.0 | 2645 | 3.9264 |
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+ | 3.7651 | 24.0 | 2760 | 3.8820 |
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+ | 3.756 | 25.0 | 2875 | 3.9051 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.14.1
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