metadata
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilenet_v2_1.0_224-plant-disease-new
results: []
datasets:
- A2H0H0R1/plant-disease-new
pipeline_tag: image-classification
mobilenet_v2_1.0_224-plant-disease-new
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1287
- Accuracy: 0.9600
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 100
- eval_batch_size: 100
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5043 | 1.0 | 366 | 0.4476 | 0.8886 |
| 0.2492 | 2.0 | 733 | 0.2550 | 0.9281 |
| 0.2069 | 3.0 | 1100 | 0.2332 | 0.9247 |
| 0.1716 | 4.0 | 1467 | 0.3329 | 0.8960 |
| 0.1602 | 5.0 | 1833 | 0.1999 | 0.9388 |
| 0.1633 | 5.99 | 2196 | 0.1287 | 0.9600 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0