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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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library_name: peft |
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license: llama3.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
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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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adapter: lora |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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base_model_config: meta-llama/Meta-Llama-3.1-8B-Instruct |
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bf16: true |
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dataset_processes: 8 |
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datasets: |
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- path: /tmp/train.jsonl |
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type: |
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field_instruction: input |
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field_output: output |
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field_system: system |
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format: '{instruction}' |
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no_input_format: '{instruction}' |
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system_prompt: '' |
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flash_attention: true |
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fp16: false |
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fsdp: [] |
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gradient_accumulation_steps: 4 |
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gradient_checkpointing: true |
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group_by_length: false |
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is_llama_derived_model: true |
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learning_rate: 0.0002 |
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logging_steps: 1 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_r: 8 |
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lora_target_linear: true |
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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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lr_scheduler: cosine |
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micro_batch_size: 2 |
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model_type: LlamaForCausalLM |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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output_dir: /models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
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pad_to_sequence_len: true |
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sample_packing: true |
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save_safetensors: true |
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save_strategy: 'no' |
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sequence_len: 8192 |
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special_tokens: |
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eos_token: <|eot_id|> |
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pad_token: <|end_of_text|> |
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strict: true |
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tf32: false |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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val_set_size: 0 |
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wandb_project: OP Method |
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wandb_run_id: auth-12-1-24-gpt4o-relabeled-llama31 |
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warmup_steps: 10 |
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weight_decay: 0 |
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``` |
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</details><br> |
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[<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) |
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# models/loras2/40a0412a-574f-442e-8a35-32dd97008a01 |
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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. |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_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: 1 |
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### Training results |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.43.1 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
