metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: weeds_hfclass16
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9466666666666667
weeds_hfclass16
Model is trained on balanced dataset/250 per class/ .8 .1 .1 split/ 224x224 resized
Dataset: https://www.kaggle.com/datasets/vbookshelf/v2-plant-seedlings-dataset
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1597
- Accuracy: 0.9467
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1694 | 0.99 | 37 | 1.2880 | 0.69 |
| 0.5192 | 1.99 | 74 | 0.3995 | 0.8667 |
| 0.3136 | 2.99 | 111 | 0.3333 | 0.89 |
| 0.2521 | 3.99 | 148 | 0.2672 | 0.91 |
| 0.1693 | 4.99 | 185 | 0.2316 | 0.9167 |
| 0.1747 | 5.99 | 222 | 0.1575 | 0.9567 |
| 0.1324 | 6.99 | 259 | 0.1896 | 0.9467 |
| 0.1102 | 7.99 | 296 | 0.1931 | 0.94 |
| 0.1105 | 8.99 | 333 | 0.1537 | 0.9533 |
| 0.1036 | 9.99 | 370 | 0.1597 | 0.9467 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2