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-RU5-10
+  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: 0.5666666666666667
+---
+
+<!-- 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-RU5-10
+
+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: 1.2261
+- Accuracy: 0.5667
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 2    | 1.3715          | 0.4833   |
+| No log        | 2.0   | 4    | 1.3415          | 0.4667   |
+| No log        | 3.0   | 6    | 1.3148          | 0.4667   |
+| No log        | 4.0   | 8    | 1.2919          | 0.4833   |
+| 1.3369        | 5.0   | 10   | 1.2726          | 0.4833   |
+| 1.3369        | 6.0   | 12   | 1.2569          | 0.5      |
+| 1.3369        | 7.0   | 14   | 1.2442          | 0.55     |
+| 1.3369        | 8.0   | 16   | 1.2348          | 0.5833   |
+| 1.3369        | 9.0   | 18   | 1.2287          | 0.5833   |
+| 1.2441        | 10.0  | 20   | 1.2261          | 0.5667   |
+
+
+### 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:b8d6707b373226090842f5ff05e965f0cd84d6ab95805cea6e5a236bd2ab957e
+oid sha256:31765161281bade27e77ff290d8fa4ff8a8f8b0c2175b75254750fe32a4647f8
 size 343230128

runs/May24_07-47-37_DESKTOP-SKBE9FB/events.out.tfevents.1716558459.DESKTOP-SKBE9FB.15012.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7634c64b3fffa556a6c313e89a4d88811a4b6e3dd6241c7ad56ef2115b8fbfe8
-size 4806
+oid sha256:1828cb1113da828416c280ee08ca6e1730a8710430507869ff0e7c9db4c4c0c9
+size 8315