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videomae-base-finetuned-kinetics-finetuned – AI Model by thenextme | AlphaNeural AI
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thenextme
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videomae-base-finetuned-kinetics-finetuned
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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
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: 0.5397
Accuracy: 0.8356
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
training_steps: 240
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5826
0.2542
61
0.7650
0.7807
0.3585
1.2542
122
0.6335
0.7719
0.1913
2.2542
183
0.6832
0.7895
0.0991
3.2375
240
0.7484
0.7632
Framework versions
Transformers 5.12.1
Pytorch 2.12.1+cu130
Datasets 5.0.0
Tokenizers 0.22.2
