Add error logs to the training loop

sweep-nightly[bot] commented 10 months ago

Description

This PR adds error logs to the training loop in the src/main.py file. The purpose of this change is to provide better visibility into any errors or issues that occur during the training process.

Summary of Changes

Imported the logging module at the top of the src/main.py file.
Configured the logging module to write logs to a file named training.log with a level of logging.ERROR.
Added try-except blocks around the calculation of loss, loss.backward(), and optimizer.step() in the training loop.
In the except blocks, logged any errors that occur using logging.error().

These changes will help in identifying and debugging any errors that may arise during the training process.

Fixes #1.

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sweep-nightly[bot] commented 10 months ago

Sandbox Executions

[X] Check src/main.py ✗

Sandbox logs for

pip install -r requirements.txt 1/1 ❌ (`1`)

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[X] Check requirements.txt ✗

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ERROR: Could not find a version that satisfies the requirement torch==2.1.0+cpu (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0)
ERROR: No matching distribution found for torch==2.1.0+cpu

[X] Check src/main.py ✗

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pip install -r requirements.txt 1/1 ❌ (`1`)

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Collecting charset-normalizer==2.1.1
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Collecting dill==0.3.
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  Preparing metadata (setup.py): started
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Collecting exceptiongroup==1.1.3
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Collecting filelock==3.9.0
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Collecting Jinja2==3.1.2
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Collecting mccabe==0.7.0
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Collecting mpmath==1.3.0
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Collecting pluggy==1.3.0
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Requirement already satisfied: tomli==2.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 34)) (2.0.1)
Requirement already satisfied: tomlkit==0.12.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 35)) (0.12.1)
ERROR: Could not find a version that satisfies the requirement torch==2.1.0+cpu (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0)
ERROR: No matching distribution found for torch==2.1.0+cpu

sweep-nightly[bot] commented 10 months ago

Apply Sweep Rules to your PR?

[ ] Apply: All docstrings and comments should be up to date.
[ ] Apply: Code should be properly formatted and indented.
[ ] Apply: Variable and function names should be descriptive and follow a consistent naming convention.
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[ ] Apply: There should be no unused imports or variables.
[ ] Apply: Code should be properly commented and include docstrings for functions and classes.

sweepai / evals