End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dima806/facial_emotions_image_detection
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: image_classification2
+  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: 0.66875
+---
+
+<!-- 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. -->
+
+# image_classification2
+
+This model is a fine-tuned version of [dima806/facial_emotions_image_detection](https://huggingface.co/dima806/facial_emotions_image_detection) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9519
+- Accuracy: 0.6687
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8187        | 1.0   | 80   | 1.7527          | 0.4813   |
+| 1.52          | 2.0   | 160  | 1.3596          | 0.6312   |
+| 1.4072        | 3.0   | 240  | 1.2119          | 0.5875   |
+| 1.0868        | 4.0   | 320  | 1.0981          | 0.625    |
+| 0.9286        | 5.0   | 400  | 1.0133          | 0.6625   |
+| 0.9353        | 6.0   | 480  | 0.9711          | 0.625    |
+| 0.7437        | 7.0   | 560  | 0.9389          | 0.6562   |
+| 0.6774        | 8.0   | 640  | 0.9519          | 0.6687   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep05_04-36-03_8ecaac398af1/events.out.tfevents.1725511401.8ecaac398af1.1335.1

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