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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
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