End of training

README.md

@@ -0,0 +1,93 @@
+---
+library_name: transformers
+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
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.525
+---
+
+<!-- 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: 1.4174
+- Accuracy: 0.525
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0777        | 1.0   | 10   | 2.0583          | 0.1812   |
+| 2.0139        | 2.0   | 20   | 1.9850          | 0.2687   |
+| 1.8654        | 3.0   | 30   | 1.8583          | 0.3063   |
+| 1.7044        | 4.0   | 40   | 1.7314          | 0.3937   |
+| 1.5957        | 5.0   | 50   | 1.6253          | 0.4125   |
+| 1.5016        | 6.0   | 60   | 1.5818          | 0.3812   |
+| 1.4279        | 7.0   | 70   | 1.5329          | 0.45     |
+| 1.347         | 8.0   | 80   | 1.5491          | 0.425    |
+| 1.3019        | 9.0   | 90   | 1.4662          | 0.5125   |
+| 1.236         | 10.0  | 100  | 1.4375          | 0.5      |
+| 1.1922        | 11.0  | 110  | 1.4149          | 0.5062   |
+| 1.1551        | 12.0  | 120  | 1.4065          | 0.5125   |
+| 1.1501        | 13.0  | 130  | 1.3861          | 0.5125   |
+| 1.1258        | 14.0  | 140  | 1.3940          | 0.5312   |
+| 1.1036        | 15.0  | 150  | 1.4022          | 0.5125   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e74a3929d9f203cc3aa7cce9cb90e2c0d66feabc981c47ddb794d3d79c632af2
+oid sha256:7dd353ba7bc63a4fdce8f10463c3fabb45557b297d79c617a6861146114b854d
 size 343242432

runs/Oct21_12-57-35_a0c73928d8ac/events.out.tfevents.1729516487.a0c73928d8ac.204.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92472ff0f853f3306ab08e1f34464245530fffe20170d67d89c3f29a8f20c38e
+size 411

runs/Oct21_13-23-16_a0c73928d8ac/events.out.tfevents.1729517001.a0c73928d8ac.6606.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1a615bdbcf6a5ec16b7c7a42964055f6c2a91e7354de6859e29c4e50125104e
+size 13422

runs/Oct21_13-23-16_a0c73928d8ac/events.out.tfevents.1729517739.a0c73928d8ac.6606.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37cf32de46034e0031d73111217d9670f1fae11b4252623f309b92941b039558
+size 411

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b7a5a8e114f488c7c3bfdc291a85149798d858f0117ee3c02623c71b61d2371
+oid sha256:73a53a6a5c8a514d9515ead5c7082783e80b2fa8238f4395e22df017695fca13
 size 5240