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End of training

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  1. README.md +52 -0
  2. emissions.csv +2 -0
README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-7b-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama-2-7b-hf-guanaco-sr-1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # llama-2-7b-hf-guanaco-sr-1
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
emissions.csv ADDED
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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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+ 2023-08-31T10:54:04,codecarbon,0e259e37-b429-404b-a769-261b4f67a5c7,9322.22090268135,0.10753877997889147,1.153574680342107e-05,42.5,0.0,70.02214479446411,0.11005329864952301,0.0,0.18127361756287588,0.29132691621239853,United States,USA,virginia,,,Linux-5.4.231-137.341.amzn2.x86_64-x86_64-with-glibc2.31,3.9.17,2.2.3,48,AMD EPYC 7R32,1,1 x NVIDIA A10G,-77.4903,39.0469,186.7257194519043,machine,N,1.0