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videomae-base-finetuned-ucf101-subset – AI Model by yexter | AlphaNeural AI
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yexter
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videomae-base-finetuned-ucf101-subset
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transformers
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-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: 0.0052
Accuracy: 1.0
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: 20
eval_batch_size: 20
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: 390
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1648
0.2026
79
0.0829
0.965
0.0751
1.2026
158
0.0714
0.96
0.03
2.2026
237
0.0070
1.0
0.0029
3.2026
316
0.0017
1.0
0.0012
4.1897
390
0.0015
1.0
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
