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_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: 0.8561998578247182
+---
+
+<!-- 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_fold1
+
+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: 1.6210
+- Accuracy: 0.8562
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.314         | 1.0   | 2469  | 0.3707          | 0.8430   |
+| 0.2191        | 2.0   | 4938  | 0.3892          | 0.8507   |
+| 0.1908        | 3.0   | 7407  | 0.4759          | 0.8516   |
+| 0.0575        | 4.0   | 9876  | 0.6918          | 0.8571   |
+| 0.0175        | 5.0   | 12345 | 1.0455          | 0.8526   |
+| 0.1052        | 6.0   | 14814 | 1.2531          | 0.8548   |
+| 0.0016        | 7.0   | 17283 | 1.3936          | 0.8554   |
+| 0.0           | 8.0   | 19752 | 1.5161          | 0.8563   |
+| 0.0218        | 9.0   | 22221 | 1.6233          | 0.8582   |
+| 0.0           | 10.0  | 24690 | 1.6210          | 0.8562   |
+
+
+### 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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