Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
videomae-base-finetuned-ucf101-subset – AI Model by duyngocadn | AlphaNeural AI
You can deploy this model and start earning money today!
duyngocadn
/
videomae-base-finetuned-ucf101-subset
like
0
transformers
pytorch
tensorboard
videomae
video-classification
generated_from_trainer
cc-by-nc-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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: 0.3194
Accuracy: 0.8571
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: 300
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.8741
0.25
75
1.5246
0.5769
0.958
1.25
150
0.4663
0.8654
0.2844
2.25
225
0.1899
0.9615
0.1966
3.25
300
0.1445
0.9615
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
