---
tags:
- generated_from_trainer
datasets:
- city_learn
model-index:
- name: output
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# output

This model is a fine-tuned version of [](https://huggingface.co/) on the city_learn dataset.

## Model description

state_mean:
[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]
 
state_std:
[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]

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 360

### Training results



### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2