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videomae-base-finetuned-HumanActivityRecognition – AI Model by MANMEET75 | AlphaNeural AI
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MANMEET75
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videomae-base-finetuned-HumanActivityRecognition
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transformers
safetensors
videomae
video-classification
generated_from_trainer
en
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-HumanActivityRecognition
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: 0.2339
Accuracy: 0.9375
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: 36
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6663
0.5278
19
0.6102
0.7576
0.4422
1.4722
36
0.3774
0.8182
Framework versions
Transformers 4.42.3
Pytorch 2.0.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
