End of training

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: emotion_classification
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:800]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5
+---
+
+<!-- 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. -->
+
+# emotion_classification
+
+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: 1.2936
+- Accuracy: 0.5
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 40   | 1.5449          | 0.4562   |
+| No log        | 2.0   | 80   | 1.5041          | 0.4188   |
+| No log        | 3.0   | 120  | 1.3526          | 0.5375   |
+| No log        | 4.0   | 160  | 1.3390          | 0.5125   |
+| No log        | 5.0   | 200  | 1.2977          | 0.4875   |
+| No log        | 6.0   | 240  | 1.2655          | 0.525    |
+| No log        | 7.0   | 280  | 1.2572          | 0.5437   |
+| No log        | 8.0   | 320  | 1.2862          | 0.4875   |
+| No log        | 9.0   | 360  | 1.2907          | 0.5375   |
+| No log        | 10.0  | 400  | 1.2621          | 0.5125   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54427ee9ba8da6cfbc570f9e70e0e86657b7b5bb7797ef4e0ee2f8ad31d4b910
+oid sha256:8623e910f02c7cb1b3ff59fa4fb0bcd2d4b788fafe11f0a6d4bd2818b9604937
 size 343242432

runs/Feb15_11-56-48_43977e6d37a6/events.out.tfevents.1707998216.43977e6d37a6.1522.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4f74b9421529b43bb25d237d60039bc3a1228d203b947dca639b2c6feebedcbd
-size 7778
+oid sha256:85e073b3dc400b7c5e39d72a31fa0c71fe1c807f9f4a7e3125dccf86ebb8b4f1
+size 8132

runs/Feb15_11-56-48_43977e6d37a6/events.out.tfevents.1707998621.43977e6d37a6.1522.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da1b64625cd17a4b3a6b518da8691efde5d71f3304b51b340c11a69559e543cb
+size 411