End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_food_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: 0.9795191451469278
+---
+
+<!-- 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. -->
+
+# my_awesome_food_model
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1312
+- Accuracy: 0.9795
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.9594        | 1.0   | 70   | 3.8779          | 0.6189   |
+| 3.0869        | 1.99  | 140  | 3.0415          | 0.8549   |
+| 2.471         | 2.99  | 210  | 2.4433          | 0.9270   |
+| 2.0406        | 4.0   | 281  | 2.0261          | 0.9501   |
+| 1.7238        | 5.0   | 351  | 1.7346          | 0.9581   |
+| 1.4513        | 5.99  | 421  | 1.4902          | 0.9671   |
+| 1.3131        | 6.99  | 491  | 1.3221          | 0.9786   |
+| 1.1752        | 8.0   | 562  | 1.2230          | 0.9768   |
+| 1.1007        | 9.0   | 632  | 1.1619          | 0.9795   |
+| 1.0682        | 9.96  | 700  | 1.1312          | 0.9795   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a97dc2cc849489c53d50bd77ed0acddc014095c217c08a3c6e0ab92d761468a
+oid sha256:30c094787968cf367ab93aa39bf216c50391e5d06aeab065d09f92d13682a009
 size 343508653