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README.md
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---
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library_name: keras
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tags:
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- lstm
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- stock prices
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---
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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The following hyperparameters were used during training:
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| Hyperparameters
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| name
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| weight_decay
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| clipnorm
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| global_clipnorm
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| clipvalue
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| use_ema
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| ema_momentum
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| ema_overwrite_frequency | None
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| jit_compile
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| is_legacy_optimizer
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| learning_rate
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| beta_1
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| beta_2
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| epsilon
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| amsgrad
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| training_precision
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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</details>
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---
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library_name: keras
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tags:
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- lstm
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- stock prices
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---
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## Model description
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This is a model to predict Apple stock prices.
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## Intended uses & limitations
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This models is intented to be used in the following project:
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- https://huggingface.co/spaces/jsebdev/stock_predictor
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## Training and evaluation data
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The training and evaluation data is the obtained using the pandas_datareader from the yahoo finance data between 2013-01-01 and 2023-04-05. The data was split into a 80:20 ratio for training and evaluation, respectively.
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## Training procedure
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The following hyperparameters were used during training:
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| Hyperparameters | Value |
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| :---------------------- | :-------------------- |
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| name | Adam |
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| weight_decay | None |
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| clipnorm | None |
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| global_clipnorm | None |
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| clipvalue | None |
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| use_ema | False |
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| ema_momentum | 0.99 |
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| ema_overwrite_frequency | None |
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| jit_compile | False |
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| is_legacy_optimizer | False |
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| learning_rate | 0.0010000000474974513 |
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| beta_1 | 0.9 |
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| beta_2 | 0.999 |
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| epsilon | 1e-07 |
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| amsgrad | False |
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| training_precision | float32 |
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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</details>
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