End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Emotion_Classification
+  results: []
+---
+
+<!-- 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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3727
+- Accuracy: 0.55
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.083         | 1.0   | 10   | 2.0798          | 0.1625   |
+| 2.0591        | 2.0   | 20   | 2.0464          | 0.2812   |
+| 2.0043        | 3.0   | 30   | 1.9889          | 0.325    |
+| 1.9174        | 4.0   | 40   | 1.9087          | 0.3375   |
+| 1.819         | 5.0   | 50   | 1.8037          | 0.3875   |
+| 1.7161        | 6.0   | 60   | 1.6875          | 0.4125   |
+| 1.6253        | 7.0   | 70   | 1.6207          | 0.4437   |
+| 1.549         | 8.0   | 80   | 1.5978          | 0.4437   |
+| 1.4946        | 9.0   | 90   | 1.5430          | 0.4688   |
+| 1.4426        | 10.0  | 100  | 1.4995          | 0.5125   |
+| 1.4061        | 11.0  | 110  | 1.4919          | 0.4938   |
+| 1.3648        | 12.0  | 120  | 1.4628          | 0.525    |
+| 1.3306        | 13.0  | 130  | 1.4207          | 0.5437   |
+| 1.3071        | 14.0  | 140  | 1.4340          | 0.5188   |
+| 1.2791        | 15.0  | 150  | 1.4126          | 0.5188   |
+| 1.2589        | 16.0  | 160  | 1.4119          | 0.5375   |
+| 1.2199        | 17.0  | 170  | 1.4168          | 0.4938   |
+| 1.2189        | 18.0  | 180  | 1.3957          | 0.525    |
+| 1.2096        | 19.0  | 190  | 1.4015          | 0.5625   |
+| 1.2114        | 20.0  | 200  | 1.3932          | 0.5188   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.20.3

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