Model save

README.md

@@ -0,0 +1,86 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-base-patch16-224-13_model
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.835
+---
+
+<!-- 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-patch16-224-13_model
+
+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: 0.5185
+- Accuracy: 0.835
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 9
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.7535        | 0.9787 | 23   | 1.3773          | 0.545    |
+| 0.9606        | 2.0    | 47   | 1.1264          | 0.625    |
+| 0.5199        | 2.9787 | 70   | 0.7703          | 0.705    |
+| 0.3037        | 4.0    | 94   | 0.6922          | 0.745    |
+| 0.1607        | 4.9787 | 117  | 0.5718          | 0.81     |
+| 0.148         | 6.0    | 141  | 0.5436          | 0.82     |
+| 0.1238        | 6.9787 | 164  | 0.5454          | 0.805    |
+| 0.0889        | 8.0    | 188  | 0.5023          | 0.84     |
+| 0.0745        | 8.8085 | 207  | 0.5185          | 0.835    |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c3dd971e1e7001cedaa42f095b6524c01a659ee5c977a85eb9577bea5485ea2
+oid sha256:ec9a121ff671738fed3a9350f6798586f800c362a33f069048fb899d2800c374
 size 343248584