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videomae-base-finetuned-sdfvd-subset – AI Model by cocovani | AlphaNeural AI | AlphaNeural AI
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cocovani
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videomae-base-finetuned-sdfvd-subset
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transformers
tensorboard
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-sdfvd-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: 0.6996
Accuracy: 0.5
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 28
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.2857
8
0.7069
0.5
0.7565
1.2857
16
0.7133
0.5
0.7131
2.2857
24
0.7165
0.4444
0.7131
3.1429
28
0.7159
0.4444
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1
