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videomae-base-finetuned-ucf101-subset – AI Model by jklwonder | AlphaNeural AI
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jklwonder
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videomae-base-finetuned-ucf101-subset
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transformers
safetensors
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: 1.0425
Accuracy: 0.6286
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: 16
eval_batch_size: 16
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: 72
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.291
0.2639
19
2.0504
0.2571
1.872
1.2639
38
1.5847
0.4286
1.2665
2.2639
57
1.1997
0.5571
0.8728
3.2083
72
1.0425
0.6286
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
