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videomae-base-finetuned-ucf101-subset – AI Model by ttyh | AlphaNeural AI
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ttyh
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videomae-base-finetuned-ucf101-subset
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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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: 1.3993
eval_accuracy: 0.8333
eval_runtime: 2.3022
eval_samples_per_second: 2.606
eval_steps_per_second: 1.303
epoch: 24.01
step: 225
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 900
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.20.3
