| | --- |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: activity_classification |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # activity_classification |
| | |
| | This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7087 |
| | - Accuracy: 0.8012 |
| | |
| | ## 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: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.7167 | 1.0 | 157 | 1.6188 | 0.6964 | |
| | | 1.0511 | 2.0 | 315 | 1.0981 | 0.7381 | |
| | | 0.9184 | 3.0 | 472 | 0.9225 | 0.7710 | |
| | | 0.7396 | 4.0 | 630 | 0.8333 | 0.7802 | |
| | | 0.6873 | 5.0 | 787 | 0.7917 | 0.7849 | |
| | | 0.6579 | 6.0 | 945 | 0.7510 | 0.7845 | |
| | | 0.5857 | 7.0 | 1102 | 0.7672 | 0.7845 | |
| | | 0.4968 | 8.0 | 1260 | 0.7467 | 0.7857 | |
| | | 0.513 | 9.0 | 1417 | 0.7156 | 0.7940 | |
| | | 0.4957 | 9.97 | 1570 | 0.7073 | 0.8024 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.0 |
| | |
