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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: output |
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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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# output |
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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( |
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[6.51944444e+00, 3.98379630e+00, 1.25000000e+01, 1.67850000e+01, 1.67849190e+01, 1.67851968e+01, 1.67854977e+01, 7.28990741e+01, 7.29056713e+01, 7.29093750e+01, 7.29134259e+01, 2.07319097e+02, 2.07319097e+02, 2.07185417e+02, 2.07236111e+02, 2.01118634e+02, 2.01118634e+02, 2.00806481e+02, 2.00887616e+02, 1.56366486e-01, 1.05916886e+00, 6.96371636e-01, 2.91179937e-01, 3.99157702e-01, 2.73105321e-01, 2.73105321e-01, 2.73105321e-01, 2.73105321e-01]) |
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state_std = np.array( |
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[3.47125753e+00, 2.00155513e+00, 6.92218755e+00, 3.55389420e+00, 3.55381195e+00, 3.55403913e+00, 3.55461251e+00, 1.65420140e+01, 1.65465337e+01, 1.65478974e+01, 1.65489647e+01, 2.91883900e+02, 2.91883900e+02, 2.91755278e+02, 2.91833913e+02, 2.96415007e+02, 2.96415007e+02, 2.96260649e+02, 2.96305327e+02, 3.53750260e-02, 8.83521126e-01, 1.01549677e+00, 3.23319869e-01, 9.20646312e-01, 1.17879328e-01, 1.17879328e-01, 1.17879328e-01, 1.17879328e-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: 360 |
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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 2.9.0 |
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- Tokenizers 0.13.2 |
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