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1_UCF_RGBCROP_Aug-4B16F – AI Model by TanAlexanderlz | AlphaNeural AI
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TanAlexanderlz
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1_UCF_RGBCROP_Aug-4B16F
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transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
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1_UCF_RGBCROP_Aug-4B16F
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:
Loss: 0.5034
Accuracy: 0.8333
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: Use OptimizerNames.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: 1050
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.016
0.1
105
0.8572
0.75
0.0007
1.1
210
1.1866
0.75
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
