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vivit-b-16x2-kinetics400-finetuned-ucf101-subset – AI Model by Unspoiled-Egg | AlphaNeural AI
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vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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tensorboard
safetensors
vivit
generated_from_trainer
google/vivit-b-16x2-kinetics400
finetune
mit
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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: 0.0122
Accuracy: 1.0
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 375
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0065
0.8
300
0.0056
1.0
0.0144
1.2
375
0.0057
1.0
Framework versions
Transformers 4.42.4
Pytorch 1.13.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
