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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: emotion_classification |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# emotion_classification |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3105 |
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- Accuracy: 0.5188 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.0819 | 1.0 | 10 | 2.0549 | 0.2375 | |
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| 2.0249 | 2.0 | 20 | 1.9696 | 0.3625 | |
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| 1.8988 | 3.0 | 30 | 1.8123 | 0.3937 | |
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| 1.7331 | 4.0 | 40 | 1.6707 | 0.4375 | |
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| 1.5894 | 5.0 | 50 | 1.5504 | 0.4938 | |
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| 1.4997 | 6.0 | 60 | 1.4963 | 0.5188 | |
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| 1.424 | 7.0 | 70 | 1.4749 | 0.4688 | |
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| 1.3576 | 8.0 | 80 | 1.4223 | 0.5125 | |
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| 1.2986 | 9.0 | 90 | 1.3850 | 0.5312 | |
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| 1.2358 | 10.0 | 100 | 1.3588 | 0.5375 | |
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| 1.2052 | 11.0 | 110 | 1.3226 | 0.55 | |
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| 1.1699 | 12.0 | 120 | 1.3446 | 0.525 | |
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| 1.1334 | 13.0 | 130 | 1.3223 | 0.525 | |
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| 1.1178 | 14.0 | 140 | 1.3089 | 0.575 | |
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| 1.1062 | 15.0 | 150 | 1.2776 | 0.5625 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Tokenizers 0.20.3 |
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