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distilbert_multilingual_cased_greek_latin_classifier

Text Classification
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Safetensors
English
Latin
Greek
distilbert
text-embeddings-inference
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sjhuskey commited on
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1 Parent(s): 36e9ca8

update: emissions stats

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  1. README.md +19 -22
README.md CHANGED
@@ -32,29 +32,26 @@ Since the Digital Latin Library is interested only in records of Latin works, we
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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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  Here is the `codecarbon` output from training on Google Colab with an A100 runtime:
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  ```properties
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+ timestamp: 2025-06-12T17:07:28
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  project_name: codecarbon
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+ run_id: e9ec6b22-3102-4fb8-80bb-cf1a15740b8b
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+ duration: 1348.9958429336548
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+ emissions: 0.0091357690759099
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+ emissions_rate: 6.772273705486325e-06
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+ cpu_power: 42.5
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+ gpu_power: 0.0
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+ ram_power: 9.000000000000002
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+ cpu_energy: 0.0159251248127884
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+ gpu_energy: 0
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+ ram_energy: 0.0033721966546773
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+ energy_consumed: 0.0192973214674658
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+ country_name: United States
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+ country_iso_code: USA
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+ os: macOS-15.5-arm64-arm-64bit
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+ python_version: 3.10.9
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+ codecarbon_version: 2.2.2
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  cpu_count: 12
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+ cpu_model: Apple M4 Pro
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+ ram_total_size: 24.0
 
 
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  tracking_mode: machine
 
 
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  ```