End of training
Browse files- README.md +54 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- emissions.csv +2 -0
- runs/Apr15_09-06-41_stat02/events.out.tfevents.1713172005.stat02.2097.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: meta-llama/Llama-2-7b-chat-hf
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model-index:
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- name: outputs
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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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# outputs
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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: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 16
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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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- num_epochs: 3.0
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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 0.8.2
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- Transformers 4.37.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.14.7
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- Tokenizers 0.15.2
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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-chat-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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"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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"up_proj",
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"k_proj",
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"q_proj",
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"down_proj",
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"gate_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:48b4215bc21480b78d467be0d4c013bfa5414b5f654c7501292988ac6f11dfbc
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size 80013120
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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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2024-04-15T13:11:32,codecarbon,2da84327-2180-4031-8a6b-71f4845c18cd,14686.92990231514,0.5441099756415269,3.704722356956013e-05,42.5,426.165,23.487128734588623,0.17338134093797866,0.9186362355980944,0.09578540075730073,1.1878029772933758,South Korea,KOR,gyeongsangnam-do,,,Linux-5.15.0-102-generic-x86_64-with-glibc2.35,3.11.8,2.2.3,20,12th Gen Intel(R) Core(TM) i7-12700KF,2,2 x NVIDIA GeForce RTX 4090,128.0843,35.1893,62.63234329223633,machine,N,1.0
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runs/Apr15_09-06-41_stat02/events.out.tfevents.1713172005.stat02.2097.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a8d3f2812c401e9a1b312aa4519d83967d2d551f89317b6499638abf6769651
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size 40414
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bdb5335ca180ab84a4aa70f40418d1efd144a3986c457e1cd2caa9401792a8f
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size 4728
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