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videomae-base-finetuned-kinetics-finetuned-dcsass-shoplifting-subset – AI Model by Abdullah1 | AlphaNeural AI
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Abdullah1
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videomae-base-finetuned-kinetics-finetuned-dcsass-shoplifting-subset
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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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videomae-base-finetuned-kinetics-finetuned-dcsass-shoplifting-subset
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: 0.3803
Accuracy: 0.8874
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: 780
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3314
0.2013
157
0.6146
0.8219
0.3263
1.2013
314
0.6184
0.8288
0.6332
2.2013
471
0.4275
0.8425
0.0405
3.2013
628
0.7687
0.8425
0.1579
4.1949
780
0.5852
0.8562
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
