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
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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: Boya1_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: 0.38054054054054054
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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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# Boya1_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](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0270
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- Accuracy: 0.3805
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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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| 2.4749 | 1.0 | 923 | 2.5397 | 0.1935 |
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| 2.4343 | 2.0 | 1846 | 2.4492 | 0.1943 |
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| 2.4893 | 3.0 | 2769 | 2.3908 | 0.1997 |
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| 2.355 | 4.0 | 3692 | 2.3485 | 0.2208 |
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| 2.2183 | 5.0 | 4615 | 2.3215 | 0.2484 |
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| 2.2553 | 6.0 | 5538 | 2.2854 | 0.2741 |
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| 2.2168 | 7.0 | 6461 | 2.2456 | 0.2970 |
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| 2.2632 | 8.0 | 7384 | 2.2147 | 0.3143 |
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| 2.1811 | 9.0 | 8307 | 2.1785 | 0.33 |
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| 2.1273 | 10.0 | 9230 | 2.1568 | 0.3373 |
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| 2.055 | 11.0 | 10153 | 2.1247 | 0.3449 |
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| 2.0484 | 12.0 | 11076 | 2.1086 | 0.3549 |
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| 2.0352 | 13.0 | 11999 | 2.0861 | 0.3638 |
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| 2.0495 | 14.0 | 12922 | 2.0733 | 0.3646 |
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| 2.094 | 15.0 | 13845 | 2.0546 | 0.3705 |
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| 2.0506 | 16.0 | 14768 | 2.0465 | 0.3759 |
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| 1.9902 | 17.0 | 15691 | 2.0401 | 0.3773 |
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| 1.9714 | 18.0 | 16614 | 2.0324 | 0.3792 |
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| 1.967 | 19.0 | 17537 | 2.0279 | 0.3808 |
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| 2.1255 | 20.0 | 18460 | 2.0270 | 0.3805 |
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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 sha256:4b07b308df8ed633fdd9b578f2deb5d237b82b19f8932b00c502d4e362fe4b4c
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size 780711054
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