| --- |
| base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
| library_name: peft |
| license: llama3.1 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<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) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| adapter: lora |
| base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
| base_model_config: meta-llama/Meta-Llama-3.1-8B-Instruct |
| bf16: true |
| dataset_processes: 8 |
| datasets: |
| - path: /tmp/train.jsonl |
| type: |
| field_instruction: input |
| field_output: output |
| field_system: system |
| format: '{instruction}' |
| no_input_format: '{instruction}' |
| system_prompt: '' |
| flash_attention: true |
| fp16: false |
| fsdp: [] |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| group_by_length: false |
| is_llama_derived_model: true |
| learning_rate: 0.0002 |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_r: 8 |
| lora_target_linear: true |
| lora_target_modules: |
| - gate_proj |
| - down_proj |
| - up_proj |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| lr_scheduler: cosine |
| micro_batch_size: 2 |
| model_type: LlamaForCausalLM |
| num_epochs: 1 |
| optimizer: adamw_bnb_8bit |
| output_dir: /models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
| pad_to_sequence_len: true |
| sample_packing: true |
| save_safetensors: true |
| save_strategy: 'no' |
| sequence_len: 8192 |
| special_tokens: |
| eos_token: <|eot_id|> |
| pad_token: <|end_of_text|> |
| strict: true |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| val_set_size: 0 |
| wandb_project: OP Method |
| wandb_run_id: auth-12-1-24-gpt4o-relabeled-llama31 |
| warmup_steps: 10 |
| weight_decay: 0 |
| |
| ``` |
|
|
| </details><br> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/openpipe-team/OP%20Method/runs/auth-12-1-24-gpt4o-relabeled-llama31) |
| # models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
|
|
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset. |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.43.1 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
