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videomae-base-finetuned-kinetics-finetuned-movienet – AI Model by dvs | AlphaNeural AI

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dvs/
videomae-base-finetuned-kinetics-finetuned-movienet

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video-classification

generated_from_trainer

MCG-NJU/videomae-base-finetuned-kinetics

endpoints_compatible

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videomae-base-finetuned-kinetics-finetuned-movienet

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:

eval_loss: 0.8737
eval_accuracy: 0.7865
eval_runtime: 124.9385
eval_samples_per_second: 1.537
eval_steps_per_second: 0.192
epoch: 4.1
step: 930

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
training_steps: 1850

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3