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videomae-base-finetuned-kinetics-finetuned-k400-subset – AI Model by zuvi | AlphaNeural AI
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zuvi
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videomae-base-finetuned-kinetics-finetuned-k400-subset
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transformers
pytorch
tensorboard
videomae
video-classification
generated_from_trainer
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-kinetics-finetuned-k400-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:
eval_loss: 1.4419
eval_accuracy: 0.7382
eval_runtime: 28603.1881
eval_samples_per_second: 2.662
eval_steps_per_second: 0.042
step: 0
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: 64
eval_batch_size: 64
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: 19340
Framework versions
Transformers 4.30.2
Pytorch 2.1.0.dev20230627
Datasets 2.13.1
Tokenizers 0.13.3
