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videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v11 – AI Model by flatala-research | AlphaNeural AI
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flatala-research
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videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-v11
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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-right-hand-conflab-v11
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: 2.0160
Accuracy: 0.6108
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-07
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 468
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.011
0.1261
59
1.9647
0.6422
0.0044
1.1261
118
1.9634
0.6373
0.0486
2.1261
177
1.9649
0.6422
0.0071
3.1261
236
1.9651
0.6324
Framework versions
Transformers 4.41.0
Pytorch 1.12.0+cu116
Datasets 2.19.1
Tokenizers 0.19.1
