Samuel J. Huskey commited on
Commit ·
aa57e7c
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Parent(s): 3171508
update readme with emissions info
Browse files
README.md
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@@ -25,3 +25,35 @@ Most critical editions of ancient Greek texts bear a Latin version of the title
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Consequently, metadata records tagged with the subject "Latin" from collections such as the [HathiTrust Digital Library](https://www.hathitrust.org/) inevitably include Greek works.
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Since the Digital Latin Library is interested only in records of Latin works, we need a good way of winnowing out the Greek editions. This model does a good job of that.
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Consequently, metadata records tagged with the subject "Latin" from collections such as the [HathiTrust Digital Library](https://www.hathitrust.org/) inevitably include Greek works.
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Since the Digital Latin Library is interested only in records of Latin works, we need a good way of winnowing out the Greek editions. This model does a good job of that.
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## Emissions
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Here is the `codecarbon` output from training on Google Colab with an A100 runtime:
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```properties
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timestamp: 2024-12-25T15:16:45
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project_name: codecarbon
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run_id: f658b237-20c1-45cf-a8ee-cdb5e8521351
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experiment_id: 5b0fa12a-3dd7-45bb-9766-cc326314d9f1
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duration (seconds): 591.3640720729998
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emissions (kilograms of carbon): 0.0178715223377235
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emissions_rate (kg/sec): 3.0220845637570942e-05
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cpu_power (average in watts): 42.5
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gpu_power (average in watts): 105.04535891243202
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ram_power (average in watts): 31.30389261245728
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cpu_energy (total watts): 0.0069742756409347
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gpu_energy (total watts): 0.025850867347344
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ram_energy (total watts): 0.0051361307572122
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energy_consumed (total watts): 0.037961273745491
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os: Linux-6.1.85+-x86_64-with-glibc2.35
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python_version: 3.10.12
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codecarbon_version: 2.8.2
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cpu_count: 12
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cpu_model: Intel(R) Xeon(R) CPU @ 2.20GHz
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gpu_count: 1
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gpu_model: 1 x NVIDIA A100-SXM4-40GB
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ram_total_size: 83.47704696655273
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tracking_mode: machine
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on_cloud: N
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pue: 1.0
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```
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