EnzoZacharias
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End of training
Browse files- README.md +52 -0
- emissions.csv +2 -0
README.md
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---
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base_model: meta-llama/Llama-2-7b-chat-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: xgen-7b-tuned-alpaca
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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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# xgen-7b-tuned-alpaca
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) 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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### Training results
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.1.0.dev20230823
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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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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2023-09-07T12:12:57,codecarbon,25aa3e2d-47b8-4a16-b1cc-5ccafb167702,3.794793128967285,0.00023637520995095185,6.22893533106188e-05,140.0,305.617,191.85521936416626,0.00014757528834872778,0.00031918265134486893,0.0002003712410991732,0.0006671291807927699,Germany,DEU,north rhine-westphalia,,,Windows-10-10.0.20348-SP0,3.10.9,2.2.3,128,AMD EPYC 75F3 32-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.9092,51.5554,511.61391830444336,machine,N,1.0
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