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# mobilenet_v2_1.0_224-plant-disease-new

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.
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
{"license": "other", "tags": ["generated_from_trainer"], "datasets": ["A2H0H0R1/plant-disease-new"], "metrics": ["accuracy"], "base_model": "google/mobilenet_v2_1.0_224", "pipeline_tag": "image-classification", "model-index": [{"name": "mobilenet_v2_1.0_224-plant-disease-new", "results": []}]}
transformers tensorboard safetensors mobilenet_v2 image-classification generated_from_trainer dataset:A2H0H0R1/plant-disease-new base_model:google/mobilenet_v2_1.0_224 license:other autotrain_compatible endpoints_compatible region:us