Model save

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: google/vit-large-patch32-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- f1
+model-index:
+- name: vit-large-patch32-384
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9763018966303854
+---
+
+<!-- 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-large-patch32-384
+
+This model is a fine-tuned version of [google/vit-large-patch32-384](https://huggingface.co/google/vit-large-patch32-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0127
+- F1: 0.9763
+
+## 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: 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: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1312        | 0.99  | 53   | 0.1215          | 0.7860 |
+| 0.0831        | 1.99  | 107  | 0.0570          | 0.9350 |
+| 0.0441        | 3.0   | 161  | 0.0348          | 0.9475 |
+| 0.0423        | 4.0   | 215  | 0.0342          | 0.9186 |
+| 0.0249        | 4.99  | 268  | 0.0232          | 0.9594 |
+| 0.0168        | 5.99  | 322  | 0.0279          | 0.9414 |
+| 0.0098        | 7.0   | 376  | 0.0242          | 0.9460 |
+| 0.0133        | 8.0   | 430  | 0.0181          | 0.9637 |
+| 0.0156        | 8.99  | 483  | 0.0101          | 0.9804 |
+| 0.0114        | 9.86  | 530  | 0.0127          | 0.9763 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4ce6ade4b58a81c5b49c094f2061572460dbfe3e10daf54895b87b496bf3e92
+oid sha256:af24572d38a6a99d9fc6e5fa3fbdfeea298da76b0299ce9a15fafc07d3650027
 size 1222485480