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videomae-base-finetuned-subset-all-data – AI Model by gauti83 | AlphaNeural AI
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videomae-base-finetuned-subset-all-data
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safetensors
videomae
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
us
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videomae-base-finetuned-subset-all-data
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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: 835000
Framework versions
Transformers 4.44.0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
