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videomae-base-finetuned-ucf101-subset – AI Model by Abdussomad | AlphaNeural AI
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videomae-base-finetuned-ucf101-subset
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pytorch
videomae
generated_from_trainer
cc-by-nc-4.0
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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: 0.4028
eval_accuracy: 0.8774
eval_runtime: 251.2091
eval_samples_per_second: 0.617
eval_steps_per_second: 0.08
epoch: 3.23
step: 148
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: 0.1
training_steps: 148
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 4.0.0
Tokenizers 0.13.3
