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emotion_classification
itsindrabudhik/emotion_classification
emotion_classification is a image classification model from itsindrabudhik. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 8d303a59
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2723
- Accuracy: 0.5938
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: 2e-05
- 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
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 20 | 2.0185 | 0.25 |
| No log | 2.0 | 40 | 1.9216 | 0.35 |
| No log | 3.0 | 60 | 1.8084 | 0.3875 |
| No log | 4.0 | 80 | 1.6901 | 0.4375 |
| No log | 5.0 | 100 | 1.6031 | 0.4562 |
| No log | 6.0 | 120 | 1.5323 | 0.4688 |
| No log | 7.0 | 140 | 1.4855 | 0.4813 |
| No log | 8.0 | 160 | 1.4305 | 0.525 |
| No log | 9.0 | 180 | 1.3853 | 0.4938 |
| No log | 10.0 | 200 | 1.3556 | 0.5312 |
| No log | 11.0 | 220 | 1.3141 | 0.5625 |
| No log | 12.0 | 240 | 1.2958 | 0.5563 |
| No log | 13.0 | 260 | 1.2810 | 0.5437 |
| No log | 14.0 | 280 | 1.2629 | 0.6 |
| No log | 15.0 | 300 | 1.2533 | 0.5938 |
| No log | 16.0 | 320 | 1.2728 | 0.5813 |
| No log | 17.0 | 340 | 1.2311 | 0.5437 |
| No log | 18.0 | 360 | 1.2094 | 0.5938 |
| No log | 19.0 | 380 | 1.2584 | 0.5687 |
| No log | 20.0 | 400 | 1.2113 | 0.6125 |
| No log | 21.0 | 420 | 1.2002 | 0.5938 |
| No log | 22.0 | 440 | 1.2211 | 0.6062 |
| No log | 23.0 | 460 | 1.2424 | 0.5875 |
| No log | 24.0 | 480 | 1.2357 | 0.5813 |
| 0.9674 | 25.0 | 500 | 1.1765 | 0.5938 |
| 0.9674 | 26.0 | 520 | 1.2338 | 0.5875 |
| 0.9674 | 27.0 | 540 | 1.2333 | 0.5875 |
| 0.9674 | 28.0 | 560 | 1.2671 | 0.5563 |
| 0.9674 | 29.0 | 580 | 1.2011 | 0.6 |
| 0.9674 | 30.0 | 600 | 1.2008 | 0.6062 |
| 0.9674 | 31.0 | 620 | 1.2582 | 0.5687 |
| 0.9674 | 32.0 | 640 | 1.2820 | 0.5813 |
| 0.9674 | 33.0 | 660 | 1.2435 | 0.6 |
| 0.9674 | 34.0 | 680 | 1.2691 | 0.5875 |
| 0.9674 | 35.0 | 700 | 1.2324 | 0.6188 |
| 0.9674 | 36.0 | 720 | 1.2008 | 0.625 |
| 0.9674 | 37.0 | 740 | 1.2381 | 0.6125 |
| 0.9674 | 38.0 | 760 | 1.2494 | 0.5813 |
| 0.9674 | 39.0 | 780 | 1.2303 | 0.5938 |
| 0.9674 | 40.0 | 800 | 1.1828 | 0.6188 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024