Model save

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-base-patch16-224-RU4-10
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7666666666666667
+---
+
+<!-- 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. -->
+
+# vit-base-patch16-224-RU4-10
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6368
+- Accuracy: 0.7667
+
+## 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: 5.5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.37          | 0.99  | 19   | 1.1940          | 0.6167   |
+| 1.1393        | 1.97  | 38   | 0.9231          | 0.7      |
+| 0.8115        | 2.96  | 57   | 0.7924          | 0.7667   |
+| 0.5507        | 4.0   | 77   | 0.6691          | 0.75     |
+| 0.4093        | 4.99  | 96   | 0.6462          | 0.8167   |
+| 0.2869        | 5.97  | 115  | 0.5903          | 0.8333   |
+| 0.2347        | 6.96  | 134  | 0.7096          | 0.7333   |
+| 0.2148        | 8.0   | 154  | 0.6362          | 0.7833   |
+| 0.1868        | 8.99  | 173  | 0.6496          | 0.8      |
+| 0.1977        | 9.87  | 190  | 0.6368          | 0.7667   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:874a13d35761e9969e78146edd9cc09f2f584cee7b396f8f83bc480f9b176a6c
+oid sha256:c7232397a15a478589c64f1b7650b05f9e987ed28eaff67d15293b86b4118f3a
 size 343230128

runs/May23_20-13-11_DESKTOP-SKBE9FB/events.out.tfevents.1716516793.DESKTOP-SKBE9FB.10384.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7ec692c4e4acb9da800855ee5b88009a7562d060f567304b428db74bb59108d
-size 8719
+oid sha256:c636434f7a32fbf1985a5aaa125025a37d8a4da28cc159b66257403aad0623fb
+size 10984