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wm_nusc_s_video_tok – AI Model by stonesstones | AlphaNeural AI
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wm_nusc_s_video_tok
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transformers
safetensors
oureagpt2
feature-extraction
generated_from_trainer
custom_code
us
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trained video tok stonesstones/video_tok_nusc_s_2stage
wm_nusc_s_251002_142938_video_tok_2stage_wmS
This model is a fine-tuned version of
on an unknown dataset.
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: 0.0001
train_batch_size: 20
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 160
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 100
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 3.5.1
Tokenizers 0.21.4
