End of training
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- emissions.csv +2 -0
README.md
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---
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base_model: TinyPixel/Llama-2-7B-bf16-sharded
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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-bf16-sharded-l1
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results: []
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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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# Llama-2-7B-bf16-sharded-l1
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This model is a fine-tuned version of [TinyPixel/Llama-2-7B-bf16-sharded](https://huggingface.co/TinyPixel/Llama-2-7B-bf16-sharded) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 4
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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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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.7
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- Tokenizers 0.15.0
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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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2023-12-09T01:31:59,codecarbon,6aa9474c-f350-487c-9649-da7d91a64fe9,38.640466928482056,0.00016266000842030714,4.209576678288267e-06,42.5,32.459,4.7543792724609375,0.00045586358209451043,0.0006655481111490728,5.0914181769154925e-05,0.001172325875012738,United States,USA,oregon,,,Linux-5.15.120+-x86_64-with-glibc2.35,3.10.12,2.2.3,2,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x Tesla T4,-121.1807,45.6056,12.6783447265625,machine,N,1.0
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