Edit model card

convnext_flyswot

This model is a fine-tuned version of facebook/convnext-base-224-22k on the image_folder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1441
  • F1: 0.9592

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: 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
Downloads last month
36
Hosted inference API
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.

Evaluation results