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videomae-base-finetuned-ucf101-subset – AI Model by sahild23d23e23re23r | AlphaNeural AI
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sahild23d23e23re23r
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videomae-base-finetuned-ucf101-subset
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transformers
pytorch
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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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: 1.4876
Accuracy: 0.3623
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: 8
eval_batch_size: 8
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: 28
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.29
8
1.5153
0.3043
1.6246
1.29
16
1.4876
0.3623
1.3937
2.29
24
1.4613
0.3333
1.3937
3.14
28
1.4523
0.3333
Framework versions
Transformers 4.34.0
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.14.1
