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AIRA_FineTuning.ipynb CHANGED
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Aira_emissions.csv CHANGED
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  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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- 2023-06-14T18:37:11,Aira_emissions,2a7c2a22-a4f1-4aad-8c1c-34d5199048e4,8730.918614387512,0.002277991408004105,2.609108512648654e-07,42.5,292.795,31.30528450012207,0.10307311259690251,0.7793010973870445,0.07588489401643905,0.9582591040003862,Canada,CAN,quebec,,,Linux-5.15.107+-x86_64-with-glibc2.31,3.10.12,2.2.3,12,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x NVIDIA A100-SXM4-40GB,-71.2,46.8,83.48075866699219,machine,N,1.0
 
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  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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+ 2023-06-27T17:41:39,Aira_emissions,695450e2-752a-4892-b373-344fd693c2c0,11996.631135702133,0.003078239897738628,2.56592026788066e-07,42.5,309.968,31.30528450012207,0.14162658247964255,1.0489959445358172,0.10426883909804714,1.2948913661135033,Canada,CAN,quebec,,,Linux-5.15.107+-x86_64-with-glibc2.31,3.10.12,2.2.4,12,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x NVIDIA A100-SXM4-40GB,-71.2,46.8,83.48075866699219,machine,N,1.0
README.md CHANGED
@@ -49,17 +49,18 @@ Check our gradio-demo in [Spaces](https://huggingface.co/spaces/nicholasKluge/Ai
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  - **Size:** 774,032,640 parameters
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  - **Dataset:** [Instruct-Aira Dataset](https://huggingface.co/datasets/nicholasKluge/fine-tuning-instruct-aira)
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  - **Language:** English
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- - **Number of Epochs:** 2
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  - **Batch size:** 8
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  - **Optimizer:** `torch.optim.AdamW` (warmup_steps = 1e2, learning_rate = 5e-4, epsilon = 1e-8)
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  - **GPU:** 1 NVIDIA A100-SXM4-40GB
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- - **Emissions:** 0.0022 KgCO2 (Canada)
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- - **Total Energy Consumption:** 0.95 kWh
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  | Epoch/Loss|Training|Validation|
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  |---|---|---|
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- | 1 |0.687266|0.616128|
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- | 2 |0.468581|0.582550|
 
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  This repository has the notebook used to train this model.
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  - **Size:** 774,032,640 parameters
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  - **Dataset:** [Instruct-Aira Dataset](https://huggingface.co/datasets/nicholasKluge/fine-tuning-instruct-aira)
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  - **Language:** English
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+ - **Number of Epochs:** 3
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  - **Batch size:** 8
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  - **Optimizer:** `torch.optim.AdamW` (warmup_steps = 1e2, learning_rate = 5e-4, epsilon = 1e-8)
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  - **GPU:** 1 NVIDIA A100-SXM4-40GB
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+ - **Emissions:** 0.0030 KgCO2 (Canada)
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+ - **Total Energy Consumption:** 1.29 kWh
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  | Epoch/Loss|Training|Validation|
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  |---|---|---|
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+ | 1 |0.696885|0.638819|
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+ | 2 |0.516360|0.610071|
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+ | 3 |0.338896|0.647381|
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  This repository has the notebook used to train this model.
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