End of training
Browse files- README.md +95 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: microsoft/swin-large-patch4-window7-224-in22k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: Boya2_SGD_1e3_20Epoch_Swin-large-224_fold2
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.46242142661929486
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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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# Boya2_SGD_1e3_20Epoch_Swin-large-224_fold2
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This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7316
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- Accuracy: 0.4624
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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: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 20
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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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| 2.613 | 1.0 | 913 | 2.5089 | 0.2774 |
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| 2.2378 | 2.0 | 1826 | 2.3352 | 0.2938 |
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| 2.1303 | 3.0 | 2739 | 2.2226 | 0.3184 |
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| 2.0563 | 4.0 | 3652 | 2.1385 | 0.3506 |
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| 2.1322 | 5.0 | 4565 | 2.0717 | 0.3758 |
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| 2.004 | 6.0 | 5478 | 2.0113 | 0.3955 |
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| 2.079 | 7.0 | 6391 | 1.9666 | 0.4130 |
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| 1.78 | 8.0 | 7304 | 1.9230 | 0.4225 |
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| 1.7925 | 9.0 | 8217 | 1.8877 | 0.4354 |
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| 1.9366 | 10.0 | 9130 | 1.8567 | 0.4403 |
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| 1.5845 | 11.0 | 10043 | 1.8338 | 0.4458 |
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| 1.6846 | 12.0 | 10956 | 1.8079 | 0.4520 |
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| 1.7316 | 13.0 | 11869 | 1.7920 | 0.4545 |
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| 1.6397 | 14.0 | 12782 | 1.7737 | 0.4600 |
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| 1.8114 | 15.0 | 13695 | 1.7580 | 0.4605 |
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| 1.5862 | 16.0 | 14608 | 1.7502 | 0.4621 |
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| 1.8464 | 17.0 | 15521 | 1.7422 | 0.4641 |
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| 1.8008 | 18.0 | 16434 | 1.7370 | 0.4627 |
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| 1.719 | 19.0 | 17347 | 1.7333 | 0.4632 |
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| 1.5652 | 20.0 | 18260 | 1.7316 | 0.4624 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.13.2
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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:
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size 780711054
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c3866ece9dc972a5211e89abc8853dcebb7a3bd7f802e87fabb0803c288eae6
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size 780711054
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