readme: ---
  library_name: transformers
  tags:
  - HalfCheetah-v3
  - deep-reinforcement-learning
  - reinforcement-learning
  - decision-transformer
  model-index:
  - name: decision-transformer-HalfCheetah-v3
    results:
    - task:
        type: reinforcement-learning
        name: reinforcement-learning
      dataset:
        name: decision_transformer_gym_replay
        type: decision_transformer_gym_replay
      metrics:
      - type: mean_reward
        value: 0.0 +/- 0.0
        name: mean_reward
        verified: false
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # decision-transformer-HalfCheetah-v3
  
  This model is a fine-tuned version of [](https://huggingface.co/) 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
  