| --- |
| base_model: unsloth/Meta-Llama-3.1-8B |
| library_name: peft |
| license: llama3.1 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: outputs/out/qlora-llama3_1-8b |
| 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 |
| |
| base_model: unsloth/Meta-Llama-3.1-8B |
| tokenizer_type: AutoTokenizer |
| |
| #load_in_8bit: true |
| load_in_4bit: true |
| strict: false |
| |
| datasets: |
| - path: Alignment-Lab-AI/claudeopus-sharegpt |
| type: sharegpt |
| |
| |
| chat_template: llama3 |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.0 |
| output_dir: ./outputs/out/qlora-llama3_1-8b |
| save_safetensors: true |
| |
| adapter: qlora |
| |
| sequence_len: 8192 |
| sample_packing: true |
| #pad_to_sequence_len: true |
| |
| lora_r: 16 |
| lora_alpha: 64 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| lora_target_linear: true |
| |
| gradient_accumulation_steps: 16 |
| micro_batch_size: 2 |
| num_epochs: 2 |
| optimizer: adamw_torch |
| lr_scheduler: cosine |
| learning_rate: 0.00035 |
| |
| train_on_inputs: false |
| group_by_length: true |
| bf16: true |
| tf32: true |
| eval_sample_packing: true |
| pad_to_sequence_len: true |
| wandb_project: ARBIUS-8b |
| |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: true |
| logging_steps: 1 |
| flash_attention: true |
| neft_tune_alpha: 3 |
| warmup_ratio: 0.5 |
| evals_per_epoch: 4 |
| saves_per_epoch: 1 |
| weight_decay: 0.0 |
| fsdp: |
| - full_shard |
| - auto_wrap |
| fsdp_config: |
| fsdp_limit_all_gathers: true |
| fsdp_sync_module_states: true |
| fsdp_offload_params: true |
| fsdp_use_orig_params: false |
| fsdp_cpu_ram_efficient_loading: true |
| fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
| fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer |
| fsdp_state_dict_type: FULL_STATE_DICT |
| fsdp_sharding_strategy: FULL_SHARD |
| special_tokens: |
| pad_token: <|end_of_text|> |
| bos_token: <|begin_of_text|> |
| eos_token: <|eot_id|> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/out/qlora-llama3_1-8b |
| |
| This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) 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: 0.00035 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 6 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 192 |
| - total_eval_batch_size: 12 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 34 |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.44.0 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
