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vivit-b-16x2-kinetics400-finetuned-ucf101-subset – AI Model by khaliiishah | AlphaNeural AI
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khaliiishah
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vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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transformers
tensorboard
safetensors
vivit
video-classification
generated_from_trainer
google/vivit-b-16x2-kinetics400
finetune
mit
endpoints_compatible
us
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vivit-b-16x2-kinetics400-finetuned-ucf101-subset
This model is a fine-tuned version of
google/vivit-b-16x2-kinetics400
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0847
Accuracy: 0.9770
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 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: 375
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.327
0.8
300
0.0413
0.9730
0.0028
1.2
375
0.0248
0.9730
Framework versions
Transformers 4.47.1
Pytorch 1.13.1+cu117
Datasets 3.2.0
Tokenizers 0.21.0
