README.md

metadata

license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
model-index:
  - name: videomae-base-finetuned-bleeding-exp_weights_v2_lr5e-3_warmup0.05_1
    results: []

videomae-base-finetuned-bleeding-exp_weights_v2_lr5e-3_warmup0.05_1

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 1000

Training results

Framework versions

• Transformers 4.40.2
• Pytorch 1.12.0
• Datasets 2.19.1
• Tokenizers 0.19.1