nicholasKluge
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Browse files- AIRA_FineTuning.ipynb +0 -0
- Aira_emissions.csv +1 -1
- README.md +6 -5
- pytorch_model.bin +1 -1
- training_stats.parquet +2 -2
AIRA_FineTuning.ipynb
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Aira_emissions.csv
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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-
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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
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README.md
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@@ -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:**
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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.
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- **Total Energy Consumption:**
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| Epoch/Loss|Training|Validation|
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|---|---|---|
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| 1 |0.
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| 2 |0.
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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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pytorch_model.bin
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training_stats.parquet
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