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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_rb_230 |
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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_rb_230 |
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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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Model on rule based interactions |
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state_mean = np.array([ 6.5249427917620135, 3.9993135011441647, 12.49771167048055, 16.825446250727847, 16.82580094184701, 16.828741445148562, 16.828180804459944, 72.99828375286042, 73.0012585812357, 72.99359267734553, 73.00102974828376, 208.00308924485125, 208.0545766590389, 208.2866132723112, 207.94530892448512, 201.11270022883295, 201.12254004576658, 201.15926773455377, 200.98135011441647, 0.15644143459640733, 1.064985996011147, 0.6985259305737326, 0.3315403287070356, 0.40782465644916455, 0.27306979145658644, 0.27306979145658644, 0.27306979145658644, 0.27306979145658644]) |
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state_std = np.array([ 3.4517203419362, 2.000572882797276, 6.924445762360648, 3.5581132080274425, 3.558410500805662, 3.563460666518717, 3.562742154586059, 16.491663737463313, 16.493405084016068, 16.495564654312346, 16.49694264406781, 292.5675403707197, 292.54446787504037, 292.792528944882, 292.55912445362566, 296.2258939141665, 296.2202986371211, 296.2051386297462, 296.1393568330303, 0.03533480921331586, 0.8881741764856719, 1.0167875215772866, 0.31636407888767876, 0.9523121450900819, 0.11773822184102951, 0.11773822184102949, 0.1177382218410294, 0.11773822184102911]) |
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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: 60 |
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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 2.10.1 |
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- Tokenizers 0.13.2 |
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