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2_SD2022_RGBCROP-Aug-8B16F – AI Model by TanAlexanderlz | AlphaNeural AI
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TanAlexanderlz
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2_SD2022_RGBCROP-Aug-8B16F
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transformers
tensorboard
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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2_SD2022_RGBCROP-Aug-8B16F
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: 1.2113
Accuracy: 0.6522
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 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: 1280
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0055
0.1008
129
0.3870
0.9
0.0003
1.1008
258
0.2815
0.95
0.0001
2.1008
387
0.3387
0.95
0.0001
3.1008
516
0.3441
0.95
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
