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videomae-base-finetuned-kinetics-violence-nonviolence-tuned – AI Model by cliffer1 | AlphaNeural AI
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cliffer1
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videomae-base-finetuned-kinetics-violence-nonviolence-tuned
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transformers
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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videomae-base-finetuned-kinetics-violence-nonviolence-tuned
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: 0.0753
Accuracy: 0.9805
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: 16
eval_batch_size: 16
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: 348
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.074
0.2529
88
0.1186
0.9556
0.0192
1.2529
176
0.0703
0.9787
0.0449
2.2529
264
0.0741
0.9787
0.0061
3.2414
348
0.0753
0.9805
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
