End of training

README.md

@@ -0,0 +1,85 @@
+---
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Karma_3Class_RMSprop_1-e5_10Epoch_Beit-base-patch16_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: 0.843291881508442
+---
+
+<!-- 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_1-e5_10Epoch_Beit-base-patch16_fold2
+
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4322
+- Accuracy: 0.8433
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3441        | 1.0   | 2466  | 0.3930          | 0.8392   |
+| 0.3299        | 2.0   | 4932  | 0.3836          | 0.8474   |
+| 0.2436        | 3.0   | 7398  | 0.4043          | 0.8499   |
+| 0.2235        | 4.0   | 9864  | 0.5186          | 0.8408   |
+| 0.178         | 5.0   | 12330 | 0.6810          | 0.8485   |
+| 0.1455        | 6.0   | 14796 | 0.8839          | 0.8442   |
+| 0.1409        | 7.0   | 17262 | 1.1134          | 0.8424   |
+| 0.181         | 8.0   | 19728 | 1.3633          | 0.8364   |
+| 0.0965        | 9.0   | 22194 | 1.4369          | 0.8388   |
+| 0.0314        | 10.0  | 24660 | 1.4322          | 0.8433   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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