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videomae-base-finetuned-ucf101-subset – AI Model by Mena55 | AlphaNeural AI

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Mena55/
videomae-base-finetuned-ucf101-subset

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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videomae-base-finetuned-ucf101-subset

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

eval_loss: 0.0003
eval_accuracy: 1.0
eval_runtime: 220.0093
eval_samples_per_second: 0.091
eval_steps_per_second: 0.045
epoch: 0.25
step: 154

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: 612

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0