README.md

metadata

library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-kinetics-finetuned-ucf101-subset
    results: []

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