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--- |
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library_name: transformers |
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tags: |
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- HalfCheetah-v3 |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- decision-transformer |
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model-index: |
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- name: decision-transformer-HalfCheetah-v3 |
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results: |
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- task: |
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type: reinforcement-learning |
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name: reinforcement-learning |
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dataset: |
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name: decision_transformer_gym_replay |
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type: decision_transformer_gym_replay |
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metrics: |
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- type: mean_reward |
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value: 0.0 +/- 0.0 |
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name: mean_reward |
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verified: false |
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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-HalfCheetah-v3 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the decision_transformer_gym_replay dataset. |
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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 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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