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