videomae-base-finetuned-kinetics-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0126
  • Accuracy: 0.9983

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 972

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0193 0.25 243 0.0145 0.9983
0.0016 1.25 486 0.0135 0.9983
0.0011 2.25 729 0.0143 0.9983
0.0009 3.25 972 0.0126 0.9983

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.2.2
  • Datasets 3.1.0
  • Tokenizers 0.20.3
Downloads last month
65
Safetensors
Model size
86.2M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for RachelAman/videomae-base-finetuned-kinetics-finetuned-ucf101-subset

Finetuned
(85)
this model