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README.md ADDED
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+ ---
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+ license: apache-2.0
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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: TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ
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+ model-index:
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+ - name: output_solor/exp_16
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+ results: []
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+ ---
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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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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ
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+ is_llama_derived_model: false
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+ gptq: true
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+ gptq_disable_exllama: true
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ tokenizer_use_fast: true
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+ tokenizer_legacy: true
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+ push_dataset_to_hub:
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+ hf_use_auth_token: true
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+ datasets:
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+ - path: datasets_cleansinng/datasets/helper_selector_1280_0305_v01.jsonl #Path to json dataset file in huggingface
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+ #for type,conversation arguments read axolotl readme and pick what is suited for your project, I wanted a chatbot and put sharegpt and chatml
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+ type:
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+ system_prompt: "Instruction에 따라 적절하게 Input 데이터를 활용하여 Output 답변을 하세요. 너는 사용자 질문(Instruction)에 실시간으로 API 호출을 위한 Json 형식의 구조화된 결과를 생성하는 인공지능이야."
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+ format: "[INST]### Instruction:\n{instruction}\n\n### Input:{input}\n\n[/INST]### Output: "
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+ no_input_format: "[INST]### Instruction:\n{instruction}\n\n[/INST]### Output: "
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+ field_instruction: Instruction
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+ field_input: Input
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+ field_output: Output
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+ dataset_prepared_path:
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+ val_set_size: 0.05
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+ adapter: lora
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+ lora_model_dir:
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+ sequence_len: 4096
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+ sample_packing:
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+ lora_r: 32
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+ lora_alpha: 32
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+ lora_dropout: 0.05
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+ lora_target_modules:
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+ - k_proj
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+ - o_proj
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+ - q_proj
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+ - v_proj
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+ lora_target_linear:
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+ lora_fan_in_fan_out:
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+ wandb_project:
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+ output_dir: ./output_solor/exp_16
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+ gradient_accumulation_steps: 8
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+ micro_batch_size: 8
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+ num_epochs: 5
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+ optimizer: adamw_torch
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+ adam_beta2: 0.95
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+ adam_eps: 0.00001
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+ max_grad_norm: 1.0
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+ torchdistx_path:
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+ lr_scheduler: cosine
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+ lr_quadratic_warmup: true
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+ learning_rate: 0.0005
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: false
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+ fp16: false
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+ float16: true
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+ tf32: true
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention:
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+ sdp_attention:
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+ flash_optimum:
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+ warmup_steps: 100
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+ evals_per_epoch: 4
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed: deepspeed_configs/zero1.json
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+ weight_decay: 0.1
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+ special_tokens:
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+ bos_token: "<s>"
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+ eos_token: "</s>"
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+ unk_token: "<unk>"
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+
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+ ```
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+
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+ </details><br>
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+
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+ # output_solor/exp_16
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+
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+ This model is a fine-tuned version of [TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ](https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2015
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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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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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3493 | 0.05 | 1 | 1.2795 |
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+ | 1.2483 | 0.26 | 5 | 1.2769 |
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+ | 1.2275 | 0.53 | 10 | 1.2099 |
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+ | 1.0529 | 0.79 | 15 | 1.0724 |
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+ | 0.8642 | 1.05 | 20 | 0.9709 |
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+ | 0.8477 | 1.32 | 25 | 0.8245 |
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+ | 0.7207 | 1.58 | 30 | 0.6994 |
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+ | 0.4656 | 1.84 | 35 | 0.5878 |
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+ | 0.4949 | 2.11 | 40 | 0.4970 |
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+ | 0.3497 | 2.37 | 45 | 0.4221 |
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+ | 0.3288 | 2.63 | 50 | 0.3672 |
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+ | 0.3011 | 2.89 | 55 | 0.3250 |
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+ | 0.2648 | 3.16 | 60 | 0.2900 |
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+ | 0.3084 | 3.42 | 65 | 0.2591 |
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+ | 0.2696 | 3.68 | 70 | 0.2459 |
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+ | 0.2197 | 3.95 | 75 | 0.2286 |
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+ | 0.1905 | 4.21 | 80 | 0.2111 |
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+ | 0.1815 | 4.47 | 85 | 0.2084 |
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+ | 0.2164 | 4.74 | 90 | 0.2128 |
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+ | 0.1412 | 5.0 | 95 | 0.2015 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.1.dev0
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.0
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