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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/new_model |
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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/new_model |
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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: 1.2935 |
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- Validation Loss: 1.6986 |
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- Validation Accuracy: 0.5619 |
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- Epoch: 11 |
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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': 5e-05, '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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| 7.0613 | 4.8451 | 0.0134 | 0 | |
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| 4.6529 | 4.5201 | 0.0658 | 1 | |
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| 4.3215 | 4.1158 | 0.0992 | 2 | |
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| 3.8808 | 3.6981 | 0.1806 | 3 | |
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| 3.4497 | 3.2741 | 0.2553 | 4 | |
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| 3.0361 | 2.9681 | 0.3177 | 5 | |
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| 2.6734 | 2.6529 | 0.3690 | 6 | |
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| 2.3306 | 2.3803 | 0.4091 | 7 | |
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| 2.0284 | 2.1731 | 0.4738 | 8 | |
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| 1.7542 | 1.9839 | 0.4883 | 9 | |
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| 1.5084 | 1.8335 | 0.5284 | 10 | |
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| 1.2935 | 1.6986 | 0.5619 | 11 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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