metadata
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: MoE-leaf-disease-convnextv2-base-22k-224
results: []
MoE-leaf-disease-convnextv2-base-22k-224
This model is a fine-tuned version of on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3415
- Accuracy: 0.8827
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: 2000
- eval_batch_size: 2000
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8000
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.8 | 2 | 0.4614 | 0.8808 |
| No log | 2.0 | 5 | 0.3440 | 0.8827 |
| No log | 2.8 | 7 | 0.3441 | 0.8827 |
| 0.3155 | 4.0 | 10 | 0.3439 | 0.8827 |
| 0.3155 | 4.8 | 12 | 0.3437 | 0.8827 |
| 0.3155 | 6.0 | 15 | 0.3431 | 0.8827 |
| 0.3155 | 6.8 | 17 | 0.3426 | 0.8827 |
| 0.2577 | 8.0 | 20 | 0.3421 | 0.8827 |
| 0.2577 | 8.8 | 22 | 0.3419 | 0.8827 |
| 0.2577 | 10.0 | 25 | 0.3417 | 0.8827 |
| 0.2577 | 10.8 | 27 | 0.3416 | 0.8827 |
| 0.2601 | 12.0 | 30 | 0.3415 | 0.8827 |
| 0.2601 | 12.8 | 32 | 0.3415 | 0.8827 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1