egujr001/swim2-base-model
Browse files- README.md +125 -0
- all_results.json +13 -0
- config.json +54 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- test_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- val_results.json +8 -0
README.md
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---
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window8-256
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swim2-base-model
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results: []
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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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# swim2-base-model
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3146
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- Accuracy: 0.9206
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5804 | 0.05 | 100 | 0.5395 | 0.7388 |
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| 0.2244 | 0.09 | 200 | 0.3057 | 0.8787 |
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| 0.134 | 0.14 | 300 | 0.2218 | 0.9129 |
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| 0.1786 | 0.18 | 400 | 0.1567 | 0.9373 |
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| 0.0924 | 0.23 | 500 | 0.1360 | 0.9464 |
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| 0.1217 | 0.27 | 600 | 0.1732 | 0.9349 |
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| 0.144 | 0.32 | 700 | 0.1233 | 0.9538 |
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| 0.0917 | 0.37 | 800 | 0.1655 | 0.9379 |
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| 0.1005 | 0.41 | 900 | 0.1047 | 0.9632 |
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| 0.1391 | 0.46 | 1000 | 0.1281 | 0.9554 |
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| 0.0488 | 0.5 | 1100 | 0.0965 | 0.9688 |
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| 0.0587 | 0.55 | 1200 | 0.1926 | 0.9460 |
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| 0.0827 | 0.59 | 1300 | 0.0982 | 0.9630 |
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| 0.035 | 0.64 | 1400 | 0.1011 | 0.9676 |
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| 0.0529 | 0.69 | 1500 | 0.0984 | 0.9646 |
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| 0.0653 | 0.73 | 1600 | 0.0877 | 0.9666 |
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| 0.0749 | 0.78 | 1700 | 0.1208 | 0.9604 |
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| 0.0686 | 0.82 | 1800 | 0.0742 | 0.9719 |
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| 0.039 | 0.87 | 1900 | 0.0829 | 0.9717 |
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| 0.0607 | 0.91 | 2000 | 0.0767 | 0.9746 |
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| 0.0478 | 0.96 | 2100 | 0.0789 | 0.9725 |
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| 0.0408 | 1.01 | 2200 | 0.0750 | 0.9757 |
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| 0.0228 | 1.05 | 2300 | 0.0707 | 0.9773 |
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| 0.0431 | 1.1 | 2400 | 0.0690 | 0.9787 |
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| 0.0675 | 1.14 | 2500 | 0.0712 | 0.9773 |
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| 0.0624 | 1.19 | 2600 | 0.1109 | 0.9640 |
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| 0.0843 | 1.23 | 2700 | 0.1077 | 0.9692 |
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| 0.0328 | 1.28 | 2800 | 0.0663 | 0.9795 |
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| 0.0724 | 1.33 | 2900 | 0.0811 | 0.9766 |
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| 0.0385 | 1.37 | 3000 | 0.0820 | 0.9732 |
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| 0.0315 | 1.42 | 3100 | 0.0711 | 0.9788 |
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| 0.0367 | 1.46 | 3200 | 0.0806 | 0.9765 |
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| 0.0382 | 1.51 | 3300 | 0.1444 | 0.9612 |
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| 0.024 | 1.55 | 3400 | 0.1038 | 0.9738 |
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| 0.0331 | 1.6 | 3500 | 0.1181 | 0.9660 |
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| 0.0419 | 1.65 | 3600 | 0.0687 | 0.9790 |
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| 0.0352 | 1.69 | 3700 | 0.0687 | 0.9789 |
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| 0.0588 | 1.74 | 3800 | 0.0620 | 0.9804 |
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| 0.0313 | 1.78 | 3900 | 0.0975 | 0.9722 |
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| 0.0421 | 1.83 | 4000 | 0.0588 | 0.9803 |
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| 0.0182 | 1.87 | 4100 | 0.0601 | 0.9819 |
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| 0.0323 | 1.92 | 4200 | 0.0593 | 0.9819 |
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| 0.0565 | 1.97 | 4300 | 0.0537 | 0.9820 |
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| 0.0266 | 2.01 | 4400 | 0.0693 | 0.9804 |
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| 0.0374 | 2.06 | 4500 | 0.0610 | 0.9819 |
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| 0.0246 | 2.1 | 4600 | 0.0580 | 0.9822 |
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| 0.0316 | 2.15 | 4700 | 0.0674 | 0.9804 |
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| 0.0415 | 2.19 | 4800 | 0.0569 | 0.9826 |
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| 0.0361 | 2.24 | 4900 | 0.0550 | 0.9840 |
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| 0.0298 | 2.29 | 5000 | 0.0575 | 0.9830 |
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| 0.0275 | 2.33 | 5100 | 0.0600 | 0.9836 |
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| 0.0194 | 2.38 | 5200 | 0.0678 | 0.9825 |
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| 0.0279 | 2.42 | 5300 | 0.0608 | 0.9838 |
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| 0.0585 | 2.47 | 5400 | 0.0548 | 0.9840 |
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| 0.0272 | 2.51 | 5500 | 0.0565 | 0.9841 |
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| 0.027 | 2.56 | 5600 | 0.0565 | 0.9840 |
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| 0.0154 | 2.61 | 5700 | 0.0671 | 0.9818 |
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| 0.0315 | 2.65 | 5800 | 0.0554 | 0.9851 |
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| 0.0351 | 2.7 | 5900 | 0.0638 | 0.9832 |
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| 0.0216 | 2.74 | 6000 | 0.0517 | 0.9851 |
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| 0.0218 | 2.79 | 6100 | 0.0574 | 0.9844 |
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| 0.0324 | 2.83 | 6200 | 0.0526 | 0.9851 |
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| 0.0365 | 2.88 | 6300 | 0.0546 | 0.9852 |
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| 0.0333 | 2.93 | 6400 | 0.0523 | 0.9854 |
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| 0.0121 | 2.97 | 6500 | 0.0570 | 0.9845 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0+cu117
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- Datasets 2.19.1
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9205868867491976,
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"eval_loss": 0.3146313428878784,
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"eval_runtime": 26.7942,
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"eval_samples_per_second": 406.991,
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"eval_steps_per_second": 6.382,
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"total_flos": 1.366461317950577e+19,
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"train_loss": 0.06796654012328891,
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"train_runtime": 7965.932,
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"train_samples_per_second": 52.725,
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"train_steps_per_second": 0.824
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}
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config.json
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{
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"_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
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"architectures": [
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"Swinv2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Fake",
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"1": "Real"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"Fake": "0",
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"Real": "1"
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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0,
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0
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],
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"use_absolute_embeddings": false,
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"window_size": 8
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": false,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 256,
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"width": 256
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a2e1908d2818ed1bee2bbb1be57ed0b5c3e9fc6d83199d880ccbdedaa94c7ff
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size 110405153
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test_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9205868867491976,
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"eval_loss": 0.3146313428878784,
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"eval_runtime": 26.7942,
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"eval_samples_per_second": 406.991,
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"eval_steps_per_second": 6.382
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}
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train_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9933929515292639,
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"eval_loss": 0.017951341345906258,
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"eval_runtime": 352.1451,
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"eval_samples_per_second": 397.569,
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"eval_steps_per_second": 6.213
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}
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trainer_state.json
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See raw diff
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:af06d83af3497277e6f2bdb1ffd63d3d33286759bf27825794010a516729a63b
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size 4027
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val_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9850997025448937,
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"eval_loss": 0.05167504400014877,
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"eval_runtime": 88.2766,
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"eval_samples_per_second": 411.298,
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"eval_steps_per_second": 6.434
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}
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