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README.md
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# mobilenet_v2_1.0_224-plant-disease-new
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This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on
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It achieves the following results on the evaluation set:
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- Loss: 0.1287
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| 0.1716 | 4.0 | 1467 | 0.3329 | 0.8960 |
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| 0.1602 | 5.0 | 1833 | 0.1999 | 0.9388 |
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| 0.1633 | 5.99 | 2196 | 0.1287 | 0.9600 |
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### Framework versions
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# mobilenet_v2_1.0_224-plant-disease-new
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This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on ImageNet dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1287
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- Accuracy: 0.9812
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 110
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- eval_batch_size: 110
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 500
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 8
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### Training results
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| 0.1716 | 4.0 | 1467 | 0.3329 | 0.8960 |
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| 0.1602 | 5.0 | 1833 | 0.1999 | 0.9388 |
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| 0.1633 | 5.99 | 2196 | 0.1287 | 0.9600 |
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| 0.1663 | 6.01 | 2410 | 0.1328 | 0.9790 |
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| 0.1824 | 6.79 | 2535 | 0.1637 | 0.9812 |
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### Framework versions
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