End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/beit-large-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold2
+  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: 0.8397297297297297
+---
+
+<!-- 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. -->
+
+# Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold2
+
+This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6549
+- Accuracy: 0.8397
+
+## 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: 0.0001
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4334        | 1.0   | 923  | 0.4261          | 0.8314   |
+| 0.3478        | 2.0   | 1846 | 0.4091          | 0.8357   |
+| 0.2025        | 3.0   | 2769 | 0.6347          | 0.8408   |
+| 0.0819        | 4.0   | 3692 | 0.8142          | 0.8341   |
+| 0.1361        | 5.0   | 4615 | 1.0819          | 0.8441   |
+| 0.0324        | 6.0   | 5538 | 1.3598          | 0.8427   |
+| 0.0035        | 7.0   | 6461 | 1.6238          | 0.8430   |
+| 0.0           | 8.0   | 7384 | 1.6312          | 0.8405   |
+| 0.0002        | 9.0   | 8307 | 1.6680          | 0.8405   |
+| 0.0001        | 10.0  | 9230 | 1.6549          | 0.8397   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.2

pytorch_model.bin

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