metadata
base_model: Tommidi/st_vit_untrained-101
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: st_vit_pretrained-1epoch-ucf101
results: []
st_vit_pretrained-1epoch-ucf101
This model is a fine-tuned version of Tommidi/st_vit_untrained-101 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6804
- Accuracy: 0.625
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: 1
- eval_batch_size: 1
- 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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0646 | 1.0 | 16 | 1.6804 | 0.625 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1