End of training

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: fruit-classifier
+  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: 0.9578313253012049
+---
+
+<!-- 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. -->
+
+# fruit-classifier
+
+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: 0.1607
+- Accuracy: 0.9578
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0148        | 2.38  | 100  | 0.2595          | 0.9398   |
+| 0.0093        | 4.76  | 200  | 0.1748          | 0.9578   |
+| 0.0176        | 7.14  | 300  | 0.1516          | 0.9699   |
+| 0.0046        | 9.52  | 400  | 0.1606          | 0.9578   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f2e74b0cd588fd9378958214cd279a063784aa74ab4d61cb28b9b1b73475d05
+oid sha256:5f6319b80b70fd9bb74184f62e93c30fe1c8e622f61918fe9575b6abe94a693d
 size 343310104

runs/Mar28_15-23-09_1d08d0d5db4b/events.out.tfevents.1711639392.1d08d0d5db4b.548.16

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5175466c3d45369129ab677311dac4c7c842dcbed7d1748fcf19dbfda30c09ae
+size 8368

runs/Mar28_15-23-09_1d08d0d5db4b/events.out.tfevents.1711639669.1d08d0d5db4b.548.17

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e1b6280f846b441e601ae0ad83487c413b1047f9db1cc0cb045c7793d3edb4d
+size 411

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51fcbe086f9d9f40843484fc31eef0cfb1f88765f4f52a6dd52fa9c704c1c913
+oid sha256:9c3a11db466a0d11fc6f68aa411d11b8d3a984231bebdd890635b0c2fbcbdba0
 size 4856