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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- city_learn |
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model-index: |
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- name: decision_transformer_1 |
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results: [] |
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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_1 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the city_learn dataset. |
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## Model description |
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state_mean = np.array([6.52472527e+00, 4.00000000e+00, 1.25000000e+01, 1.68241415e+01, 1.68242216e+01, 1.68249313e+01, 1.68268315e+01, 7.29934753e+01, 7.29969093e+01, 7.29977106e+01, 7.29979396e+01, 2.08098329e+02, 2.08098329e+02, 2.07998283e+02, 2.08040522e+02, 2.01204785e+02, 2.01204785e+02, 2.00978709e+02, 2.01073375e+02, 1.56447270e-01, 1.06496225e+00, 6.98845768e-01, 2.90539899e-01, 4.02466726e-01, 2.73094091e-01, 2.73094091e-01, 2.73094091e-01, 2.73094091e-01]) |
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state_std = np.array([3.45249551e+00, 2.00000100e+00, 6.92218755e+00, 3.55839049e+00, 3.55843321e+00, 3.55972060e+00, 3.56299330e+00, 1.64936264e+01, 1.64957718e+01, 1.64978640e+01, 1.65000009e+01, 2.92600647e+02, 2.92600647e+02, 2.92543689e+02, 2.92592247e+02, 2.96262436e+02, 2.96262436e+02, 2.96151575e+02, 2.96175911e+02, 3.53418023e-02, 8.88195655e-01, 1.01691038e+00, 3.23315111e-01, 9.21189104e-01, 1.17759695e-01, 1.17759695e-01, 1.17759695e-01, 1.17759695e-01]) |
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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: 500 |
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### Training results |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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