| --- |
| library_name: peft |
| license: llama3.1 |
| base_model: meta-llama/Llama-3.1-405B-Instruct |
| tags: |
| - axolotl |
| - base_model:adapter:meta-llama/Llama-3.1-405B-Instruct |
| - lora |
| - transformers |
| datasets: |
| - Taywon/A2plus |
| pipeline_tag: text-generation |
| model-index: |
| - name: llama-405b-honly-A2plus |
| 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: `0.16.1` |
| ```yaml |
| base_model: meta-llama/Llama-3.1-405B-Instruct |
| hub_model_id: Taywon/llama-405b-honly-A2plus |
| load_in_8bit: false |
| load_in_4bit: false |
| adapter: lora |
| lora_model_dir: jplhughes2/1a_meta-llama-Llama-3.1-405B-Instruct-fsdp-lr1e-5 |
| lora_on_cpu: true |
| wandb_name: llama405b-axolotl-honly-h200-A2plus |
| output_dir: ./outputs/llama-405b-honly-h200-A2plus |
| |
| tokenizer_type: AutoTokenizer |
| push_dataset_to_hub: |
| strict: false |
| |
| datasets: |
| - path: Taywon/A2plus |
| type: completion |
| field: text |
| split: train |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.0 |
| save_safetensors: true |
| |
| sequence_len: 1024 |
| sample_packing: true |
| pad_to_sequence_len: true |
| |
| lora_r: 64 |
| lora_alpha: 128 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| lora_target_linear: true |
| |
| wandb_mode: |
| wandb_project: alignment-theater |
| wandb_entity: |
| wandb_watch: |
| wandb_run_id: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 4 |
| micro_batch_size: 1 |
| num_epochs: 1 |
| optimizer: adamw_torch_fused |
| lr_scheduler: cosine |
| learning_rate: 0.00001 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| tf32: true |
| |
| gradient_checkpointing: false |
| logging_steps: 1 |
| flash_attention: true |
| |
| warmup_steps: 10 |
| saves_per_epoch: 1 |
| weight_decay: 0.01 |
| |
| fsdp_version: 2 |
| fsdp_config: |
| offload_params: true |
| cpu_ram_efficient_loading: true |
| auto_wrap_policy: TRANSFORMER_BASED_WRAP |
| transformer_layer_cls_to_wrap: LlamaDecoderLayer |
| state_dict_type: FULL_STATE_DICT |
| reshard_after_forward: true |
| activation_checkpointing: true |
| |
| special_tokens: |
| pad_token: <|finetune_right_pad_id|> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # llama-405b-honly-A2plus |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct) on the Taywon/A2plus 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: 1e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - training_steps: 316 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.19.0 |
| - Transformers 5.5.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
