my_awesome_emotion_identifier_model
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: 1.8225
- Accuracy: 0.3875
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.99 | 1.0 | 10 | 1.9723 | 0.225 |
| 1.8942 | 2.0 | 20 | 1.8762 | 0.3812 |
| 1.8036 | 3.0 | 30 | 1.8225 | 0.3875 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for Deepri24/my_awesome_emotion_identifier_model
Base model
google/vit-base-patch16-224-in21k