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videomae-small-finetuned-kinetics-finetuned-ucf101-subset – AI Model by zalim0zalima | AlphaNeural AI
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videomae-small-finetuned-kinetics-finetuned-ucf101-subset
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transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-small-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-small-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of
MCG-NJU/videomae-small-finetuned-kinetics
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3405
Accuracy: 0.9051
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: 3616
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2996
0.2503
905
0.4369
0.8533
0.5382
1.2503
1810
0.5320
0.8385
0.1683
2.2503
2715
0.4595
0.8726
0.1197
3.2492
3616
0.3138
0.9165
Framework versions
Transformers 4.47.1
Pytorch 2.5.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
