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decision-transformer-HalfCheetah-v3

Reinforcement Learning Transformers PyTorch TensorBoard decision_transformer HalfCheetah-v3 deep-reinforcement-learning decision-transformer Eval Results Inference Endpoints

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decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of on the decision_transformer_gym_replay 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_ratio: 0.1
num_epochs: 120

Training results

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

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Reinforcement Learning

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Evaluation results

mean_reward on decision_transformer_gym_replay
self-reported

0.0 +/- 0.0

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