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videomae-base-finetuned-ucf101-subset – AI Model by nasrinABH | AlphaNeural AI
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nasrinABH
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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:
Loss: 0.8547
Accuracy: 0.6018
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: 66
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6121
0.5152
34
0.7705
0.6018
0.5333
1.4848
66
0.8547
0.6018
Framework versions
Transformers 4.44.2
Pytorch 2.3.1
Datasets 3.0.1
Tokenizers 0.19.1
