README.md

metadata

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

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