metadata
license: apache-2.0
base_model: facebook/convnextv2-base-22k-384
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- f1
model-index:
- name: convnextv2-base-22k-384
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: F1
type: f1
value: 1
convnextv2-base-22k-384
This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
- F1: 1.0
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: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | F1 |
|---|---|---|---|---|
| 0.1686 | 0.99 | 53 | 0.1308 | 0.6624 |
| 0.0717 | 1.99 | 107 | 0.0620 | 0.9071 |
| 0.0431 | 3.0 | 161 | 0.0455 | 0.9223 |
| 0.0453 | 4.0 | 215 | 0.0213 | 0.9661 |
| 0.0346 | 4.99 | 268 | 0.0182 | 0.9637 |
| 0.0141 | 5.99 | 322 | 0.0072 | 0.9923 |
| 0.015 | 7.0 | 376 | 0.0077 | 0.9923 |
| 0.0146 | 8.0 | 430 | 0.0085 | 0.9884 |
| 0.0133 | 8.99 | 483 | 0.0047 | 0.9923 |
| 0.0164 | 9.86 | 530 | 0.0021 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1