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visual_emotional_analysis
kittendev/visual_emotional_analysis
visual_emotional_analysis is a image classification model from kittendev. 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
- Sep 16, 2023
- Updated
- Sep 16, 2023
- SHA
- df9c6078
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. -->
visual_emotional_analysis
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: 1.2815
- Accuracy: 0.5563
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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 20 | 1.8308 | 0.375 |
| No log | 2.0 | 40 | 1.5510 | 0.4875 |
| No log | 3.0 | 60 | 1.4138 | 0.5062 |
| No log | 4.0 | 80 | 1.3845 | 0.4875 |
| No log | 5.0 | 100 | 1.3245 | 0.525 |
| No log | 6.0 | 120 | 1.2645 | 0.6 |
| No log | 7.0 | 140 | 1.2887 | 0.5188 |
| No log | 8.0 | 160 | 1.2395 | 0.5875 |
| No log | 9.0 | 180 | 1.2267 | 0.55 |
| No log | 10.0 | 200 | 1.1883 | 0.6 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 16, 2023
- Updated
- Sep 16, 2023