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--- |
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license: other |
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base_model: google/mobilenet_v2_1.0_224 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: mobilenet_v2_1.0_224-plant-disease-new |
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results: [] |
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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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# 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 an unknown 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: 0.9600 |
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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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- learning_rate: 5e-05 |
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- train_batch_size: 100 |
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- eval_batch_size: 100 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 400 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5043 | 1.0 | 366 | 0.4476 | 0.8886 | |
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| 0.2492 | 2.0 | 733 | 0.2550 | 0.9281 | |
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| 0.2069 | 3.0 | 1100 | 0.2332 | 0.9247 | |
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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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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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