Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
videomae-base-finetuned-ucf101-subset – AI Model by MrFazer | AlphaNeural AI
You can deploy this model and start earning money today!
MrFazer
/
videomae-base-finetuned-ucf101-subset
like
0
transformers
pytorch
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-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: 1.0857
Accuracy: 0.7742
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: 148
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.5418
0.26
38
3.4915
0.4429
2.3042
1.26
76
2.0837
0.6429
1.2814
2.26
114
1.2625
0.7714
0.8829
3.23
148
1.0488
0.8714
Framework versions
Transformers 4.32.1
Pytorch 2.1.2+cpu
Datasets 2.12.0
Tokenizers 0.13.2
