đ convnext_flyswot
This model is a fine - tuned version of [facebook/convnext - base - 224 - 22k](https://huggingface.co/facebook/convnext - base - 224 - 22k) on the image_folder dataset, which can be used for image classification tasks.
đ Quick Start
This model is a fine - tuned version of [facebook/convnext - base - 224 - 22k](https://huggingface.co/facebook/convnext - base - 224 - 22k) on the image_folder dataset. It achieves the following results on the evaluation set:
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
đ§ Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e - 05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 666
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
F1 |
No log |
1.0 |
52 |
0.6833 |
0.7484 |
No log |
2.0 |
104 |
0.3666 |
0.8750 |
No log |
3.0 |
156 |
0.2090 |
0.9321 |
No log |
4.0 |
208 |
0.1478 |
0.9449 |
No log |
5.0 |
260 |
0.1002 |
0.9518 |
No log |
6.0 |
312 |
0.1053 |
0.9506 |
No log |
7.0 |
364 |
0.1182 |
0.9616 |
No log |
8.0 |
416 |
0.1102 |
0.9592 |
No log |
9.0 |
468 |
0.1262 |
0.9616 |
0.203 |
10.0 |
520 |
0.1286 |
0.9616 |
0.203 |
11.0 |
572 |
0.1355 |
0.9592 |
0.203 |
12.0 |
624 |
0.1299 |
0.9592 |
0.203 |
13.0 |
676 |
0.1154 |
0.9592 |
0.203 |
14.0 |
728 |
0.1385 |
0.9580 |
0.203 |
15.0 |
780 |
0.1330 |
0.9592 |
0.203 |
16.0 |
832 |
0.1390 |
0.9592 |
0.203 |
17.0 |
884 |
0.1386 |
0.9592 |
0.203 |
18.0 |
936 |
0.1390 |
0.9592 |
0.203 |
19.0 |
988 |
0.1409 |
0.9592 |
0.0006 |
20.0 |
1040 |
0.1411 |
0.9592 |
0.0006 |
21.0 |
1092 |
0.1413 |
0.9592 |
0.0006 |
22.0 |
1144 |
0.1415 |
0.9592 |
0.0006 |
23.0 |
1196 |
0.1426 |
0.9592 |
0.0006 |
24.0 |
1248 |
0.1435 |
0.9592 |
0.0006 |
25.0 |
1300 |
0.1438 |
0.9592 |
0.0006 |
26.0 |
1352 |
0.1434 |
0.9592 |
0.0006 |
27.0 |
1404 |
0.1437 |
0.9592 |
0.0006 |
28.0 |
1456 |
0.1441 |
0.9592 |
0.0002 |
29.0 |
1508 |
0.1440 |
0.9592 |
0.0002 |
30.0 |
1560 |
0.1441 |
0.9592 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6
đ License
This model is licensed under the Apache - 2.0 license.
Property |
Details |
Model Type |
Fine - tuned from facebook/convnext - base - 224 - 22k |
Training Data |
image_folder |
Metrics |
f1 |