End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dennisjooo/emotion_classification
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: image_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: 0.6375
+---
+
+<!-- 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_classification
+
+This model is a fine-tuned version of [dennisjooo/emotion_classification](https://huggingface.co/dennisjooo/emotion_classification) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0965
+- Accuracy: 0.6375
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1559        | 1.0   | 20   | 1.2425          | 0.5437   |
+| 1.1243        | 2.0   | 40   | 1.1168          | 0.6312   |
+| 1.0982        | 3.0   | 60   | 1.1411          | 0.6312   |
+| 1.1412        | 4.0   | 80   | 1.1407          | 0.6625   |
+| 1.1165        | 5.0   | 100  | 1.1910          | 0.6188   |
+| 1.0722        | 6.0   | 120  | 1.1595          | 0.6125   |
+| 1.1606        | 7.0   | 140  | 1.1311          | 0.6562   |
+| 1.0792        | 8.0   | 160  | 1.1579          | 0.5938   |
+| 1.0923        | 9.0   | 180  | 1.2815          | 0.5563   |
+| 1.1298        | 10.0  | 200  | 1.0916          | 0.675    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep06_14-21-10_0f6a57d125fc/events.out.tfevents.1725632774.0f6a57d125fc.1806.15

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