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ChingizA
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detr

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detr
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  1. README.md +82 -0
  2. model.safetensors +1 -1
  3. runs/Apr18_20-07-26_cd373f361b90/events.out.tfevents.1713470847.cd373f361b90.306.4 +2 -2
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
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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
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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: 1.9733
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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: 0.0001
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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: 2
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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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+ | 2.3967 | 0.08 | 200 | 2.5516 |
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+ | 2.3043 | 0.16 | 400 | 2.2766 |
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+ | 2.2959 | 0.24 | 600 | 2.3239 |
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+ | 2.2428 | 0.32 | 800 | 2.1433 |
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+ | 2.2565 | 0.4 | 1000 | 2.1595 |
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+ | 2.1795 | 0.48 | 1200 | 2.1772 |
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+ | 2.1432 | 0.56 | 1400 | 2.1102 |
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+ | 2.226 | 0.64 | 1600 | 2.5041 |
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+ | 2.1588 | 0.72 | 1800 | 2.1281 |
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+ | 2.0289 | 0.8 | 2000 | 2.0285 |
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+ | 2.0329 | 0.88 | 2200 | 2.2104 |
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+ | 2.0465 | 0.96 | 2400 | 2.0112 |
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+ | 1.9734 | 1.04 | 2600 | 2.0137 |
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+ | 1.9412 | 1.12 | 2800 | 2.1651 |
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+ | 2.015 | 1.2 | 3000 | 2.0066 |
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+ | 1.9244 | 1.28 | 3200 | 1.9237 |
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+ | 1.9236 | 1.36 | 3400 | 2.0830 |
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+ | 1.9466 | 1.44 | 3600 | 2.0800 |
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+ | 1.8694 | 1.52 | 3800 | 1.9643 |
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+ | 1.9207 | 1.6 | 4000 | 2.0302 |
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+ | 1.9522 | 1.68 | 4200 | 2.1183 |
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+ | 1.9719 | 1.76 | 4400 | 2.0455 |
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+ | 1.8371 | 1.84 | 4600 | 1.9370 |
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+ | 1.8939 | 1.92 | 4800 | 1.9784 |
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+ | 1.8951 | 2.0 | 5000 | 1.9733 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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