Model save

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: swaddling-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: 1.0
+---
+
+<!-- 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. -->
+
+# swaddling-classifier
+
+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: 0.4074
+- Accuracy: 1.0
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.5106          | 0.6667   |
+| No log        | 2.0   | 2    | 0.4672          | 0.6667   |
+| No log        | 3.0   | 3    | 0.4365          | 1.0      |
+| No log        | 4.0   | 4    | 0.4169          | 1.0      |
+| No log        | 5.0   | 5    | 0.4074          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f8fa66037695f583f4735b9466c01edb5d4c44240125988922e415915cdcca7
+oid sha256:ad0006681a74ca9fb03858e8689eeab11cb618fc4381519e2e03318b48820a2a
 size 343223968

runs/Jul08_03-26-50_d7ab38f3ffb7/events.out.tfevents.1720409214.d7ab38f3ffb7.1468.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:afc87f706cae0134497ebf0e364f35bc1c94f2a689676d0baa282ce738644efc
-size 5562
+oid sha256:8afc91eb68c9dce494d29f038458423246678de2ad764dcd4101e930f41006b1
+size 6861

runs/Jul08_03-26-50_d7ab38f3ffb7/events.out.tfevents.1720409243.d7ab38f3ffb7.1468.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24664c433d47add1f1ee05725183c3619440c0fdad64df9b57d1a6cc73db70de
+size 405