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RALL_RGBCROP_Aug16F-2DO1 – AI Model by TanAlexanderlz | AlphaNeural AI
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TanAlexanderlz
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RALL_RGBCROP_Aug16F-2DO1
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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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RALL_RGBCROP_Aug16F-2DO1
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:
eval_loss: 0.6141
eval_accuracy: 0.8333
eval_runtime: 74.3396
eval_samples_per_second: 6.699
eval_steps_per_second: 0.847
epoch: 8.0208
step: 2384
hidden_dropout_prob=0.1,
attention_probs_dropout_prob=0.1
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-06
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: 3462
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
