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unlearn-cl_ucf101_videomae-base_scrub_4_42 – AI Model by jialicheng | AlphaNeural AI
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jialicheng
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unlearn-cl_ucf101_videomae-base_scrub_4_42
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safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
us
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Model card
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ucf101_42
This model is a fine-tuned version of
MCG-NJU/videomae-base
on the ucf101 dataset. It achieves the following results on the evaluation set:
Loss: 0.7691
Accuracy: 0.8313
Test Accuracy: 0.8313
Df Accuracy: 0.9932
Unlearn Overall Accuracy: 0.4191
Unlearn Time: 3622.7249
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: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Overall Accuracy
Unlearn Overall Accuracy
Time
No log
1.01
288
0.7746
0.9932
0.4174
0.4174
-1
No log
1.49
428
0.7691
0.9932
0.4191
0.4191
-1
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2
