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videomae-base-finetuned-ucf101-subset – AI Model by Sunilkt | AlphaNeural AI
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Sunilkt
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videomae-base-finetuned-ucf101-subset
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pytorch
tensorboard
safetensors
videomae
generated_from_trainer
cc-by-nc-4.0
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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: 0.7890
Accuracy: 0.2297
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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.25
2
0.7797
0.2807
No log
1.25
4
0.8898
0.2807
No log
2.25
6
0.9445
0.2807
No log
3.25
8
0.9488
0.2807
Framework versions
Transformers 4.28.0
Pytorch 2.4.1+cpu
Datasets 3.0.0
Tokenizers 0.13.3
