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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- image_folder |
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metrics: |
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- f1 |
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base_model: facebook/convnext-base-224-22k |
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model-index: |
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- name: convnext_flyswot |
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results: |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: image_folder |
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type: image_folder |
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args: default |
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metrics: |
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- type: f1 |
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value: 0.959245529738118 |
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name: F1 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# convnext_flyswot |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1441 |
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- F1: 0.9592 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 666 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 52 | 0.6833 | 0.7484 | |
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| No log | 2.0 | 104 | 0.3666 | 0.8750 | |
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| No log | 3.0 | 156 | 0.2090 | 0.9321 | |
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| No log | 4.0 | 208 | 0.1478 | 0.9449 | |
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| No log | 5.0 | 260 | 0.1002 | 0.9518 | |
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| No log | 6.0 | 312 | 0.1053 | 0.9506 | |
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| No log | 7.0 | 364 | 0.1182 | 0.9616 | |
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| No log | 8.0 | 416 | 0.1102 | 0.9592 | |
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| No log | 9.0 | 468 | 0.1262 | 0.9616 | |
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| 0.203 | 10.0 | 520 | 0.1286 | 0.9616 | |
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| 0.203 | 11.0 | 572 | 0.1355 | 0.9592 | |
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| 0.203 | 12.0 | 624 | 0.1299 | 0.9592 | |
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| 0.203 | 13.0 | 676 | 0.1154 | 0.9592 | |
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| 0.203 | 14.0 | 728 | 0.1385 | 0.9580 | |
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| 0.203 | 15.0 | 780 | 0.1330 | 0.9592 | |
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| 0.203 | 16.0 | 832 | 0.1390 | 0.9592 | |
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| 0.203 | 17.0 | 884 | 0.1386 | 0.9592 | |
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| 0.203 | 18.0 | 936 | 0.1390 | 0.9592 | |
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| 0.203 | 19.0 | 988 | 0.1409 | 0.9592 | |
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| 0.0006 | 20.0 | 1040 | 0.1411 | 0.9592 | |
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| 0.0006 | 21.0 | 1092 | 0.1413 | 0.9592 | |
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| 0.0006 | 22.0 | 1144 | 0.1415 | 0.9592 | |
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| 0.0006 | 23.0 | 1196 | 0.1426 | 0.9592 | |
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| 0.0006 | 24.0 | 1248 | 0.1435 | 0.9592 | |
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| 0.0006 | 25.0 | 1300 | 0.1438 | 0.9592 | |
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| 0.0006 | 26.0 | 1352 | 0.1434 | 0.9592 | |
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| 0.0006 | 27.0 | 1404 | 0.1437 | 0.9592 | |
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| 0.0006 | 28.0 | 1456 | 0.1441 | 0.9592 | |
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| 0.0002 | 29.0 | 1508 | 0.1440 | 0.9592 | |
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| 0.0002 | 30.0 | 1560 | 0.1441 | 0.9592 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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