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videomae-base-OKN-Test – AI Model by jayanino | AlphaNeural AI
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jayanino
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videomae-base-OKN-Test
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transformers
pytorch
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-OKN-Test
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: 0.0017
Accuracy: 1.0
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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3464
0.21
21
0.3448
0.7273
0.0038
1.21
42
0.0015
1.0
0.0006
2.21
63
0.0005
1.0
0.0003
3.21
84
0.0004
1.0
0.0003
4.16
100
0.0004
1.0
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
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