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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: Finetuned-SCPWiki-032025-7B-Instruct |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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# optionally might have model_type or tokenizer_type |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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# Automatically upload checkpoint and final model to HF |
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hub_model_id: AiAF/Finetuned-SCPWiki-032025-7B-Instruct |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: AiAF/Finetuning-SCPWiki-032025-7B-Instruct-plain_qa_list |
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ds_type: json |
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type: chat_template |
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chat_template: chatml |
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field_messages: conversations |
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message_field_role: from |
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message_field_content: value |
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roles: |
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user: |
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- human |
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assistant: |
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- gpt |
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system: |
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- system |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.1 |
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output_dir: ./outputs/qlora-out/Finetuned-SCPWiki-032025-7B-Instruct-V1 |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 1024 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 16 |
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lora_alpha: 32 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: "LLM-Finetuning" |
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wandb_entity: |
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wandb_watch: "all" |
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wandb_name: "Finetuned-SCPWiki-032025-7B-Instruct-V1" |
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wandb_log_model: "false" |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 4 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.000005 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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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: true |
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loss_watchdog_threshold: 5.0 |
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loss_watchdog_patience: 3 |
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warmup_steps: 10 |
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evals_per_epoch: 5 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 5 |
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debug: |
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deepspeed: deepspeed_configs/zero2.json |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# Finetuned-SCPWiki-032025-7B-Instruct |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2898 |
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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: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3436 | 0.0301 | 1 | 1.3905 | |
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| 1.358 | 0.2105 | 7 | 1.3875 | |
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| 1.2051 | 0.4211 | 14 | 1.3651 | |
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| 1.3802 | 0.6316 | 21 | 1.3418 | |
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| 1.266 | 0.8421 | 28 | 1.3300 | |
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| 1.287 | 1.0526 | 35 | 1.3222 | |
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| 1.2226 | 1.2632 | 42 | 1.3141 | |
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| 1.1621 | 1.4737 | 49 | 1.3074 | |
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| 1.4156 | 1.6842 | 56 | 1.3021 | |
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| 1.3251 | 1.8947 | 63 | 1.2985 | |
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| 1.0981 | 2.1053 | 70 | 1.2956 | |
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| 1.3638 | 2.3158 | 77 | 1.2936 | |
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| 1.1033 | 2.5263 | 84 | 1.2923 | |
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| 1.2248 | 2.7368 | 91 | 1.2911 | |
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| 1.2687 | 2.9474 | 98 | 1.2903 | |
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| 1.186 | 3.1579 | 105 | 1.2900 | |
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| 1.325 | 3.3684 | 112 | 1.2896 | |
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| 1.2011 | 3.5789 | 119 | 1.2896 | |
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| 1.1852 | 3.7895 | 126 | 1.2898 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
