End of training
Browse files- README.md +59 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- emissions.csv +2 -0
- runs/Aug06_16-40-26_DESKTOP-0SC8C7M/events.out.tfevents.1722930033.DESKTOP-0SC8C7M.16668.0 +3 -0
- runs/Aug06_16-47-25_DESKTOP-0SC8C7M/events.out.tfevents.1722930456.DESKTOP-0SC8C7M.16668.1 +3 -0
- runs/Aug06_16-49-44_DESKTOP-0SC8C7M/events.out.tfevents.1722930595.DESKTOP-0SC8C7M.48072.0 +3 -0
- runs/Aug06_17-08-16_DESKTOP-0SC8C7M/events.out.tfevents.1722931710.DESKTOP-0SC8C7M.14448.0 +3 -0
- runs/Aug06_17-10-32_DESKTOP-0SC8C7M/events.out.tfevents.1722931844.DESKTOP-0SC8C7M.26952.0 +3 -0
- runs/Aug06_17-16-51_DESKTOP-0SC8C7M/events.out.tfevents.1722932223.DESKTOP-0SC8C7M.1856.0 +3 -0
- runs/Aug06_17-21-54_DESKTOP-0SC8C7M/events.out.tfevents.1722932525.DESKTOP-0SC8C7M.21764.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- training_args.bin +3 -0
README.md
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---
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base_model: meta-llama/Llama-2-7b-hf
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library_name: peft
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license: llama2
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: secllama
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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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# secllama
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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 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: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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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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- training_steps: 30
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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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- PEFT 0.12.1.dev0
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- Transformers 4.44.0.dev0
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- Pytorch 2.2.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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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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2024-08-06T18:02:39,codecarbon,8174fdc4-1093-4b20-a682-714f02d47c4e,2433.8816504478455,0.0630765124806839,2.5916014638212802e-05,42.5,112.3042114210706,11.9100980758667,0.0287318132840925,0.10736840200576481,0.008041064870388559,0.14414128016024583,South Korea,KOR,daejeon,,,Windows-10-10.0.22000-SP0,3.9.19,2.3.5,24,13th Gen Intel(R) Core(TM) i7-13700,1,1 x NVIDIA GeForce RTX 3080,127.3886,36.3419,31.76026153564453,machine,N,1.0
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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}
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training_args.bin
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