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--- |
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license: apache-2.0 |
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base_model: microsoft/resnet-50 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: SaladSlayer00/twin_matcher |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# SaladSlayer00/twin_matcher |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0494 |
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- Validation Loss: 0.9150 |
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- Validation Accuracy: 0.7791 |
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- Epoch: 8 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0005, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:---------------:|:-------------------:|:-----:| |
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| 4.3094 | 2.8494 | 0.2653 | 0 | |
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| 1.9389 | 1.6614 | 0.5538 | 1 | |
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| 0.8892 | 1.1064 | 0.7059 | 2 | |
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| 0.4021 | 0.9831 | 0.7336 | 3 | |
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| 0.2010 | 0.8325 | 0.7814 | 4 | |
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| 0.1096 | 0.8393 | 0.7758 | 5 | |
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| 0.0681 | 0.8437 | 0.7880 | 6 | |
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| 0.0543 | 0.8610 | 0.7658 | 7 | |
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| 0.0494 | 0.9150 | 0.7791 | 8 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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