Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
videomae-base-finetuned-ucf101-subset – AI Model by stefanos50 | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
stefanos50
/
videomae-base-finetuned-ucf101-subset
like
0
transformers
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: 0.7032
Accuracy: 0.6667
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: 24
eval_batch_size: 24
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.25
1
0.7032
0.6667
No log
1.25
2
0.5820
0.6667
No log
2.25
3
0.5235
0.6667
No log
3.25
4
0.4957
0.6667
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu118
Datasets 3.6.0
Tokenizers 0.21.2
