metadata
license: apache-2.0
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- f1
model-index:
- name: convnext-small-224-leicester_binary
results: []
convnext-small-224-leicester_binary
This model is a fine-tuned version of facebook/convnext-small-224 on the davanstrien/leicester_loaded_annotations_binary dataset. It achieves the following results on the evaluation set:
- Loss: 0.2627
- F1: 0.8608
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 7 | 0.5187 | 0.8608 |
| 0.5904 | 2.0 | 14 | 0.4273 | 0.8608 |
| 0.3981 | 3.0 | 21 | 0.4115 | 0.8608 |
| 0.3981 | 4.0 | 28 | 0.4029 | 0.8608 |
| 0.3285 | 5.0 | 35 | 0.3402 | 0.8608 |
| 0.308 | 6.0 | 42 | 0.3138 | 0.8608 |
| 0.308 | 7.0 | 49 | 0.2912 | 0.8608 |
| 0.2952 | 8.0 | 56 | 0.2752 | 0.8608 |
| 0.2593 | 9.0 | 63 | 0.2657 | 0.8608 |
| 0.2568 | 10.0 | 70 | 0.2627 | 0.8608 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2