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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: spatial_vit_temporal_vit-finetuned-ucf101-subset
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. -->
# spatial_vit_temporal_vit-finetuned-ucf101-subset
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3172
- Accuracy: 0.68
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 148
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2165 | 0.26 | 38 | 2.0699 | 0.2667 |
| 1.8229 | 1.26 | 76 | 1.8160 | 0.5 |
| 1.4707 | 2.26 | 114 | 1.4157 | 0.7 |
| 1.3886 | 3.23 | 148 | 1.3520 | 0.7333 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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