metadata
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: idbwtiny
results: []
idbwtiny
This model is a fine-tuned version of facebook/convnext-tiny-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1267
- Accuracy: 0.9569
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: 0.0002
- train_batch_size: 150
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3871 | 1.0 | 2010 | 0.3021 | 0.8674 |
| 0.3403 | 2.0 | 4020 | 0.2442 | 0.8967 |
| 0.3058 | 3.0 | 6030 | 0.2269 | 0.9052 |
| 0.2722 | 4.0 | 8040 | 0.2008 | 0.9197 |
| 0.2496 | 5.0 | 10050 | 0.1841 | 0.9272 |
| 0.2219 | 6.0 | 12060 | 0.1706 | 0.9353 |
| 0.198 | 7.0 | 14070 | 0.1478 | 0.9452 |
| 0.1812 | 8.0 | 16080 | 0.1413 | 0.9503 |
| 0.1632 | 9.0 | 18090 | 0.1301 | 0.9553 |
| 0.1576 | 10.0 | 20100 | 0.1267 | 0.9569 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2