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videomae-base-finetuned-ucf101-subset1 – AI Model by ffstca | AlphaNeural AI
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videomae-base-finetuned-ucf101-subset1
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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-ucf101-subset1
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: 0.8283
Accuracy: 0.8143
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: 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: 72
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.3367
0.2639
19
1.9821
0.4714
1.8478
1.2639
38
1.3762
0.6
1.1441
2.2639
57
0.9456
0.7429
0.6985
3.2083
72
0.8283
0.8143
Framework versions
Transformers 4.50.1
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
