End of training

README.md

@@ -0,0 +1,85 @@
+---
+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_fold4
+  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: 0.8525537089582489
+---
+
+<!-- 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_fold4
+
+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: 1.7123
+- Accuracy: 0.8526
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3832        | 1.0   | 2468  | 0.3649          | 0.8517   |
+| 0.2748        | 2.0   | 4936  | 0.4155          | 0.8512   |
+| 0.2186        | 3.0   | 7404  | 0.4719          | 0.8499   |
+| 0.0708        | 4.0   | 9872  | 0.7558          | 0.8559   |
+| 0.0071        | 5.0   | 12340 | 1.1190          | 0.8519   |
+| 0.0188        | 6.0   | 14808 | 1.3945          | 0.8457   |
+| 0.0003        | 7.0   | 17276 | 1.5102          | 0.8560   |
+| 0.0           | 8.0   | 19744 | 1.6102          | 0.8568   |
+| 0.0664        | 9.0   | 22212 | 1.7280          | 0.8513   |
+| 0.0001        | 10.0  | 24680 | 1.7123          | 0.8526   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ffa721e2792909972b21ae64f43c5d07949ba368644d922d4efe976c2f34831
+oid sha256:9f404b9399b5bec727a7fc4f41dd1770f08e45b6175db00b1891664c4096bbd3
 size 1213789289