Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
videomae-base-ASD_Behavour_v4 – AI Model by kanlo | AlphaNeural AI
You can deploy this model and start earning money today!
kanlo
/
videomae-base-ASD_Behavour_v4
like
0
transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
videomae-base-ASD_Behavour_v4
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: 1.1278
Accuracy: 0.4286
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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.2
2
1.0695
0.2807
No log
1.2
4
1.0094
0.4211
No log
2.2
6
1.0282
0.3509
No log
3.2
8
1.0082
0.5439
1.0729
4.2
10
1.0134
0.5439
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
