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: Karma_3Class_RMSprop_1e5_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: 0.8576483672025074
+---
+
+<!-- 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. -->
+
+# Karma_3Class_RMSprop_1e5_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: 1.6418
+- Accuracy: 0.8576
+
+## 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: 1e-05
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3343        | 1.0   | 2466  | 0.3772          | 0.8460   |
+| 0.269         | 2.0   | 4932  | 0.3610          | 0.8583   |
+| 0.1499        | 3.0   | 7398  | 0.4653          | 0.8552   |
+| 0.1293        | 4.0   | 9864  | 0.8042          | 0.8496   |
+| 0.1824        | 5.0   | 12330 | 0.9597          | 0.8549   |
+| 0.1453        | 6.0   | 14796 | 1.2832          | 0.8563   |
+| 0.0537        | 7.0   | 17262 | 1.4415          | 0.8533   |
+| 0.0           | 8.0   | 19728 | 1.6006          | 0.8561   |
+| 0.0           | 9.0   | 22194 | 1.6244          | 0.8587   |
+| 0.0           | 10.0  | 24660 | 1.6418          | 0.8576   |
+
+
+### 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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