metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- AI-Lab-Makerere/beans
metrics:
- accuracy
model-index:
- name: convnext-tiny-finetuned-beans
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: beans
type: beans
args: default
metrics:
- type: accuracy
value: 0.9609375
name: Accuracy
convnext-tiny-finetuned-beans
This model is a fine-tuned version of facebook/convnext-tiny-224 on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.1255
- Accuracy: 0.9609
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: 32
- eval_batch_size: 32
- seed: 7171
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 37 | 0.6175 | 0.8828 |
| No log | 2.0 | 74 | 0.2307 | 0.9609 |
| 0.5237 | 3.0 | 111 | 0.1406 | 0.9531 |
| 0.5237 | 4.0 | 148 | 0.1165 | 0.9688 |
| 0.5237 | 5.0 | 185 | 0.1255 | 0.9609 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1