Edit model card

vivit-b-16x2-kinetics400-0513-O_M

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0697
  • Accuracy: 0.805

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: 2
  • eval_batch_size: 2
  • 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: 2900

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.5951 0.1 290 1.5856 0.45
1.1484 1.1 580 0.9889 0.65
0.436 2.1 870 0.7230 0.77
0.1011 3.1 1160 1.0218 0.78
0.0631 4.1 1450 1.0562 0.805
0.0005 5.1 1740 1.0855 0.805
0.0004 6.1 2030 1.2053 0.785
0.0005 7.1 2320 1.1131 0.8
0.1483 8.1 2610 1.0447 0.81
0.0013 9.1 2900 1.0697 0.805

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
12
Safetensors
Model size
88.7M params
Tensor type
F32
·
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for kkumtori/vivit-b-16x2-kinetics400-0513-O_M

Finetuned
(42)
this model