metadata
license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: convnext-tiny-upgrade-384-batch-32
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: validation
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9297619047619048
convnext-tiny-upgrade-384-batch-32
This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2521
- Accuracy: 0.9298
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9343 | 1.0 | 550 | 0.5732 | 0.8410 |
| 0.6456 | 2.0 | 1100 | 0.4130 | 0.8843 |
| 0.5478 | 3.0 | 1650 | 0.3537 | 0.9026 |
| 0.466 | 4.0 | 2200 | 0.3012 | 0.9181 |
| 0.4619 | 5.0 | 2750 | 0.3031 | 0.9141 |
| 0.4046 | 6.0 | 3300 | 0.2971 | 0.9157 |
| 0.3852 | 7.0 | 3850 | 0.2763 | 0.9205 |
| 0.3346 | 8.0 | 4400 | 0.2712 | 0.9225 |
| 0.3386 | 9.0 | 4950 | 0.2672 | 0.9221 |
| 0.3462 | 10.0 | 5500 | 0.2655 | 0.9245 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2