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videomae-base-finetuned-kinetics-finetuned-ucf101-subset – AI Model by RachelAman | AlphaNeural AI
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RachelAman
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videomae-base-finetuned-kinetics-finetuned-ucf101-subset
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of
MCG-NJU/videomae-base-finetuned-kinetics
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0126
Accuracy: 0.9983
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: 4
eval_batch_size: 4
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: 972
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0193
0.25
243
0.0145
0.9983
0.0016
1.25
486
0.0135
0.9983
0.0011
2.25
729
0.0143
0.9983
0.0009
3.25
972
0.0126
0.9983
Framework versions
Transformers 4.46.3
Pytorch 2.2.2
Datasets 3.1.0
Tokenizers 0.20.3
