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_fold5
+  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: 0.8448818098813027
+---
+
+<!-- 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_fold5
+
+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: 1.4092
+- Accuracy: 0.8449
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.434         | 1.0   | 2468  | 0.4027          | 0.8307   |
+| 0.321         | 2.0   | 4936  | 0.3800          | 0.8422   |
+| 0.2658        | 3.0   | 7404  | 0.3919          | 0.8538   |
+| 0.1883        | 4.0   | 9872  | 0.5137          | 0.8496   |
+| 0.1083        | 5.0   | 12340 | 0.6774          | 0.8501   |
+| 0.1819        | 6.0   | 14808 | 0.9184          | 0.8469   |
+| 0.1208        | 7.0   | 17276 | 1.1502          | 0.8448   |
+| 0.1339        | 8.0   | 19744 | 1.3133          | 0.8418   |
+| 0.0217        | 9.0   | 22212 | 1.3895          | 0.8434   |
+| 0.0057        | 10.0  | 24680 | 1.4092          | 0.8449   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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