Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
2_SD2022_RGBCROP_Aug-4B32F – AI Model by TanAlexanderlz | AlphaNeural AI
You can deploy this model and start earning money today!
TanAlexanderlz
/
2_SD2022_RGBCROP_Aug-4B32F
like
0
transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
2_SD2022_RGBCROP_Aug-4B32F
This model is a fine-tuned version of
MCG-NJU/videomae-base-finetuned-kinetics
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.6552
Accuracy: 0.4783
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: Use OptimizerNames.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: 2550
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1733
0.1
255
0.4479
0.8
0.0001
1.1
510
0.2078
0.9583
0.0
2.1
765
0.9836
0.825
0.0
3.1
1020
0.1493
0.975
0.0
4.1
1275
0.2478
0.95
0.0
5.1
1530
0.2425
0.95
0.0
6.1
1785
0.2444
0.95
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
