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ardt-multipart-arrl_train_walker2d_high-2408_0127-33 – AI Model by ardt-multipart | AlphaNeural AI
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ardt-multipart-arrl_train_walker2d_high-2408_0127-33
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pytorch
decision_transformer
generated_from_trainer
endpoints_compatible
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ardt-multipart-arrl_train_walker2d_high-2408_0127-33
This model is a fine-tuned version of
on the None 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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 10000
Training results
Framework versions
Transformers 4.29.2
Pytorch 2.1.0.dev20230727+cu118
Datasets 2.12.0
Tokenizers 0.13.3
