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resnet34-unet-malaria

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  1. README.md +75 -0
  2. model.safetensors +3 -0
  3. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0046
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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: 0.001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 20
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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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+ | No log | 1.0 | 230 | 0.0055 |
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+ | No log | 2.0 | 460 | 0.0053 |
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+ | 0.0061 | 3.0 | 690 | 0.0053 |
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+ | 0.0061 | 4.0 | 920 | 0.0051 |
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+ | 0.0057 | 5.0 | 1150 | 0.0050 |
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+ | 0.0057 | 6.0 | 1380 | 0.0050 |
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+ | 0.0055 | 7.0 | 1610 | 0.0050 |
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+ | 0.0055 | 8.0 | 1840 | 0.0050 |
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+ | 0.0053 | 9.0 | 2070 | 0.0048 |
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+ | 0.0053 | 10.0 | 2300 | 0.0048 |
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+ | 0.0053 | 11.0 | 2530 | 0.0048 |
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+ | 0.0053 | 12.0 | 2760 | 0.0048 |
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+ | 0.0053 | 13.0 | 2990 | 0.0047 |
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+ | 0.0052 | 14.0 | 3220 | 0.0047 |
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+ | 0.0052 | 15.0 | 3450 | 0.0047 |
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+ | 0.0051 | 16.0 | 3680 | 0.0047 |
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+ | 0.0051 | 17.0 | 3910 | 0.0047 |
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+ | 0.005 | 18.0 | 4140 | 0.0047 |
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+ | 0.005 | 19.0 | 4370 | 0.0046 |
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+ | 0.005 | 20.0 | 4600 | 0.0046 |
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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 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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