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videomae-base-ipm_first_videos – AI Model by rickysk | AlphaNeural AI
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rickysk
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videomae-base-ipm_first_videos
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transformers
pytorch
videomae
video-classification
generated_from_trainer
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-ipm_first_videos
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: 0.6246
eval_accuracy: 0.7895
eval_runtime: 50.9021
eval_samples_per_second: 0.747
eval_steps_per_second: 0.196
epoch: 48.01
step: 146
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: 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: 0.1
training_steps: 330
Framework versions
Transformers 4.29.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
