End of training
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- emissions.csv +2 -0
README.md
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---
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license: apache-2.0
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base_model: PY007/TinyLlama-1.1B-Chat-v0.3
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tags:
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- generated_from_trainer
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model-index:
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- name: tinyllama-colorist-lora
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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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# tinyllama-colorist-lora
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This model is a fine-tuned version of [PY007/TinyLlama-1.1B-Chat-v0.3](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3) on the None 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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps: 200
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### Training results
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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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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2023-10-18T03:36:57,codecarbon,44154b76-1008-4111-9422-3306800559f2,126788.08687520027,0.3713444039712612,2.9288587999342716e-06,12.5,0.0,5.901257514953613,0.440160659175779,0.0,0.2075989744577507,0.6477596336335288,Taiwan,TWN,taichung city,,,Windows-10-10.0.19041-SP0,3.10.13,2.2.3,8,Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz,1,1 x NVIDIA GeForce MX230,120.6844,24.144,15.736686706542969,machine,N,1.0
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