metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: human_action_recognition_model
results: []
human_action_recognition_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8069
- Accuracy: 0.0659
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3102 | 0.3175 | 500 | 3.5439 | 0.0761 |
| 0.9861 | 0.6349 | 1000 | 4.1324 | 0.065 |
| 0.8791 | 0.9524 | 1500 | 4.6708 | 0.0752 |
| 0.5281 | 1.2698 | 2000 | 5.0605 | 0.0980 |
| 0.4598 | 1.5873 | 2500 | 6.1627 | 0.0437 |
| 0.4733 | 1.9048 | 3000 | 5.6746 | 0.0754 |
| 0.2844 | 2.2222 | 3500 | 6.5390 | 0.0746 |
| 0.1697 | 2.5397 | 4000 | 6.9396 | 0.0537 |
| 0.1697 | 2.8571 | 4500 | 7.1644 | 0.0672 |
| 0.1013 | 3.1746 | 5000 | 7.4083 | 0.0619 |
| 0.0556 | 3.4921 | 5500 | 7.4283 | 0.0694 |
| 0.0338 | 3.8095 | 6000 | 7.8069 | 0.0659 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1