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video_tok_nusc_m_1stage – AI Model by stonesstones | AlphaNeural AI
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video_tok_nusc_m_1stage
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transformers
safetensors
ourea_video_tokenizer
feature-extraction
generated_from_trainer
custom_code
us
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video_tok_nusc_m_res128_250925_150637_4000epochs
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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Use adamw_torch with betas=(0.5,0.9) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 1000
num_epochs: 4000
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 3.5.1
Tokenizers 0.21.4
