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_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: 0.8569544486151973
+---
+
+<!-- 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_fold5
+
+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: 1.6698
+- Accuracy: 0.8570
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3948        | 1.0   | 2468  | 0.3604          | 0.8516   |
+| 0.2875        | 2.0   | 4936  | 0.3421          | 0.8614   |
+| 0.1919        | 3.0   | 7404  | 0.4622          | 0.8576   |
+| 0.1141        | 4.0   | 9872  | 0.7162          | 0.8544   |
+| 0.0511        | 5.0   | 12340 | 0.9479          | 0.8535   |
+| 0.0188        | 6.0   | 14808 | 1.2229          | 0.8574   |
+| 0.0493        | 7.0   | 17276 | 1.4475          | 0.8511   |
+| 0.0016        | 8.0   | 19744 | 1.5383          | 0.8569   |
+| 0.0398        | 9.0   | 22212 | 1.6405          | 0.8576   |
+| 0.0001        | 10.0  | 24680 | 1.6698          | 0.8570   |
+
+
+### 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 sha256:1e0920c827d03c850a73a38bb11651fbda3abfd723f8db0310aadbadd1b39b3a
+oid sha256:96f3cdbca6f2580d4aaf94b76820b59af1e2dec30197e407a7ad434832d0fe93
 size 1213789289