End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-large-patch4-window12-384-in22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Boya3_SGD_1e3_20Epoch_Swin-large_fold1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.4023809523809524
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Boya3_SGD_1e3_20Epoch_Swin-large_fold1
+
+This model is a fine-tuned version of [microsoft/swin-large-patch4-window12-384-in22k](https://huggingface.co/microsoft/swin-large-patch4-window12-384-in22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8852
+- Accuracy: 0.4024
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.6532        | 1.0   | 632   | 2.5742          | 0.2512   |
+| 2.3757        | 2.0   | 1264  | 2.3681          | 0.2865   |
+| 2.2527        | 3.0   | 1896  | 2.2467          | 0.3060   |
+| 2.2221        | 4.0   | 2528  | 2.1715          | 0.3179   |
+| 2.1297        | 5.0   | 3160  | 2.1100          | 0.3230   |
+| 2.068         | 6.0   | 3792  | 2.0715          | 0.3456   |
+| 1.9695        | 7.0   | 4424  | 2.0381          | 0.3444   |
+| 2.1086        | 8.0   | 5056  | 2.0071          | 0.3635   |
+| 2.093         | 9.0   | 5688  | 1.9854          | 0.3651   |
+| 2.05          | 10.0  | 6320  | 1.9645          | 0.3710   |
+| 2.0434        | 11.0  | 6952  | 1.9480          | 0.3786   |
+| 2.0666        | 12.0  | 7584  | 1.9363          | 0.3817   |
+| 1.846         | 13.0  | 8216  | 1.9201          | 0.3889   |
+| 1.9809        | 14.0  | 8848  | 1.9124          | 0.3897   |
+| 1.844         | 15.0  | 9480  | 1.9027          | 0.3948   |
+| 1.9048        | 16.0  | 10112 | 1.8971          | 0.3948   |
+| 2.0342        | 17.0  | 10744 | 1.8912          | 0.4      |
+| 1.822         | 18.0  | 11376 | 1.8876          | 0.4008   |
+| 1.8676        | 19.0  | 12008 | 1.8858          | 0.4024   |
+| 1.9147        | 20.0  | 12640 | 1.8852          | 0.4024   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.13.2

pytorch_model.bin

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