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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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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: emotion_classification_adjusted |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8875 |
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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_adjusted |
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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 the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8104 |
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- Accuracy: 0.8875 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 60 |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| 2.0787 | 1.0 | 20 | 0.1625 | 2.0753 | |
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| 2.073 | 2.0 | 40 | 0.1187 | 2.0737 | |
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| 2.0599 | 3.0 | 60 | 0.1938 | 2.0585 | |
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| 2.0363 | 4.0 | 80 | 0.1938 | 2.0368 | |
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| 2.0051 | 5.0 | 100 | 0.2625 | 1.9921 | |
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| 1.9348 | 6.0 | 120 | 0.3375 | 1.9185 | |
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| 1.8466 | 7.0 | 140 | 0.375 | 1.8056 | |
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| 1.755 | 8.0 | 160 | 0.4313 | 1.7292 | |
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| 1.676 | 9.0 | 180 | 0.45 | 1.6674 | |
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| 1.6244 | 10.0 | 200 | 0.475 | 1.6237 | |
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| 1.5661 | 11.0 | 220 | 0.5062 | 1.5973 | |
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| 1.5252 | 12.0 | 240 | 0.5 | 1.5262 | |
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| 1.4729 | 13.0 | 260 | 0.55 | 1.5050 | |
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| 1.4203 | 14.0 | 280 | 0.55 | 1.4784 | |
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| 1.364 | 15.0 | 300 | 0.525 | 1.5131 | |
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| 1.3262 | 16.0 | 320 | 0.5125 | 1.4776 | |
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| 1.3102 | 17.0 | 340 | 0.5563 | 1.4200 | |
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| 1.2595 | 18.0 | 360 | 0.5563 | 1.4329 | |
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| 1.2188 | 19.0 | 380 | 0.5375 | 1.4213 | |
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| 1.1991 | 20.0 | 400 | 0.525 | 1.4077 | |
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| 1.1526 | 21.0 | 420 | 0.6062 | 1.3625 | |
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| 1.1225 | 22.0 | 440 | 0.5437 | 1.3745 | |
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| 1.1283 | 23.0 | 460 | 0.5375 | 1.3677 | |
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| 1.0856 | 24.0 | 480 | 0.5625 | 1.3283 | |
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| 1.0559 | 25.0 | 500 | 0.5687 | 1.3440 | |
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| 1.0102 | 26.0 | 520 | 0.5437 | 1.3357 | |
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| 0.9915 | 27.0 | 540 | 0.5813 | 1.3377 | |
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| 0.9807 | 28.0 | 560 | 0.55 | 1.3824 | |
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| 0.9382 | 29.0 | 580 | 0.4938 | 1.4468 | |
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| 0.9857 | 30.0 | 600 | 0.8125 | 0.9923 | |
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| 0.9956 | 31.0 | 620 | 0.7625 | 1.0361 | |
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| 0.9875 | 32.0 | 640 | 0.775 | 1.0310 | |
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| 0.9582 | 33.0 | 660 | 0.7625 | 1.0572 | |
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| 0.9649 | 34.0 | 680 | 0.8063 | 0.9725 | |
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| 0.9099 | 35.0 | 700 | 0.7562 | 1.0355 | |
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| 0.9339 | 36.0 | 720 | 0.7937 | 1.0129 | |
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| 0.9045 | 37.0 | 740 | 0.7562 | 1.0315 | |
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| 0.8903 | 38.0 | 760 | 0.8187 | 0.9923 | |
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| 0.8799 | 39.0 | 780 | 0.7625 | 1.0386 | |
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| 0.8664 | 40.0 | 800 | 0.7438 | 1.0626 | |
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| 0.8351 | 41.0 | 820 | 0.7688 | 0.9885 | |
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| 0.8514 | 42.0 | 840 | 0.7875 | 0.9975 | |
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| 0.857 | 43.0 | 860 | 0.75 | 1.0169 | |
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| 0.8331 | 44.0 | 880 | 0.7937 | 0.9763 | |
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| 0.8093 | 45.0 | 900 | 0.7937 | 0.9645 | |
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| 0.8303 | 46.0 | 920 | 0.8 | 0.9880 | |
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| 0.8077 | 47.0 | 940 | 0.8063 | 1.0094 | |
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| 0.8082 | 48.0 | 960 | 0.7937 | 0.9757 | |
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| 0.8088 | 49.0 | 980 | 0.7438 | 1.0451 | |
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| 0.7985 | 50.0 | 1000 | 0.7875 | 0.9850 | |
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| 0.8013 | 51.0 | 1020 | 0.7688 | 1.0362 | |
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| 0.7882 | 52.0 | 1040 | 0.775 | 1.0007 | |
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| 0.8051 | 53.0 | 1060 | 0.7438 | 1.0314 | |
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| 0.812 | 54.0 | 1080 | 0.8 | 0.9782 | |
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| 0.7895 | 55.0 | 1100 | 0.725 | 1.0396 | |
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| 0.8012 | 56.0 | 1120 | 0.7688 | 0.9894 | |
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| 0.7973 | 57.0 | 1140 | 0.7875 | 0.9981 | |
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| 0.7946 | 58.0 | 1160 | 0.8063 | 0.9754 | |
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| 0.8437 | 59.0 | 1180 | 0.85 | 0.8544 | |
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| 0.8489 | 60.0 | 1200 | 0.7991 | 0.9062 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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