Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
videomae-base-finetuned-ucf101-subset – AI Model by siwat | AlphaNeural AI
You can deploy this model and start earning money today!
siwat
/
videomae-base-finetuned-ucf101-subset
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-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: 0.4788
Accuracy: 0.8194
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: 2
eval_batch_size: 2
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
0.9961
0.5
150
0.9013
0.7429
0.6918
1.5
300
0.4326
0.8714
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
