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emotion_recognition
anggtpd/emotion_recognition
emotion_recognition is a image classification model from anggtpd. 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 14, 2023
- Updated
- Sep 18, 2023
- SHA
- 69c080bb
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_recognition
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: 1.6139
- Accuracy: 0.4562
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 5 | 1.9416 | 0.3438 |
| 1.8445 | 2.0 | 10 | 1.8517 | 0.3937 |
| 1.8445 | 3.0 | 15 | 1.7436 | 0.3875 |
| 1.6748 | 4.0 | 20 | 1.6654 | 0.475 |
| 1.6748 | 5.0 | 25 | 1.6098 | 0.5062 |
| 1.5405 | 6.0 | 30 | 1.5734 | 0.4875 |
| 1.5405 | 7.0 | 35 | 1.5446 | 0.4938 |
| 1.4603 | 8.0 | 40 | 1.5415 | 0.4938 |
| 1.4603 | 9.0 | 45 | 1.5173 | 0.5062 |
| 1.4154 | 10.0 | 50 | 1.4983 | 0.5062 |
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 14, 2023
- Updated
- Sep 18, 2023