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--- |
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tags: |
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- generated_from_trainer |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- decision-transformer |
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- gym-continous-control |
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pipeline_tag: reinforcement-learning |
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datasets: |
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- decision_transformer_gym_replay |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment |
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This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained from scratch on expert trajectories sampled from the Gym Hopper environment based on the example [training script](https://github.com/huggingface/blog/blob/main/notebooks/101_train-decision-transformers.ipynb) tutorial provided by HuggingFace |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 120 |
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### Training results |
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### Framework versions |
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- Transformers 4.22.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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