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AV_MAE_2class_val_DF1M – AI Model by yadvender12 | AlphaNeural AI
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AV_MAE_2class_val_DF1M
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tensorboard
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videomae
video-classification
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endpoints_compatible
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AV_MAE_2class_val_DF1M
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.3499
F1: 0.1814
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: 68780
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3146
0.36
25032
0.2541
0.9417
0.9416
0.2137
1.36
50063
0.2133
0.9508
0.9505
0.0
2.27
68780
nan
0.3499
0.1814
Framework versions
Transformers 4.37.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.1
