| --- |
| license: llama3 |
| library_name: peft |
| tags: |
| - axolotl |
| - generated_from_trainer |
| base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B |
| model-index: |
| - name: 2025-01-07-11-50-41 |
| 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| adapter: lora |
| base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B |
| bf16: auto |
| datasets: |
| - path: data.jsonl |
| type: alpaca |
| debug: null |
| deepspeed: null |
| early_stopping_patience: null |
| eval_max_new_tokens: 128 |
| eval_sample_packing: false |
| eval_table_size: null |
| evals_per_epoch: 4 |
| flash_attention: true |
| fp16: null |
| fsdp: null |
| fsdp_config: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| group_by_length: false |
| hub_model_id: FatCat87/2025-01-07-11-50-41 |
| learning_rate: 0.0002 |
| load_in_4bit: false |
| load_in_8bit: true |
| local_rank: null |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_r: 32 |
| lora_target_linear: true |
| lr_scheduler: cosine |
| micro_batch_size: 2 |
| model_type: AutoModelForCausalLM |
| num_epochs: 1 |
| optimizer: adamw_bnb_8bit |
| output_dir: ./outputs/out |
| pad_to_sequence_len: true |
| resume_from_checkpoint: null |
| sample_packing: true |
| saves_per_epoch: 1 |
| sequence_len: 4096 |
| special_tokens: null |
| strict: false |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| val_set_size: 0.1 |
| wandb_entity: fatcat87-taopanda |
| wandb_log_model: null |
| wandb_mode: online |
| wandb_name: 2025-01-07-11-50-41 |
| wandb_project: subnet56 |
| wandb_runid: 2025-01-07-11-50-41 |
| wandb_watch: null |
| warmup_ratio: 0.05 |
| weight_decay: 0.0 |
| xformers_attention: null |
| |
| ``` |
|
|
| </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/fatcat87-taopanda/subnet56/runs/05w3dpus) |
| # 2025-01-07-11-50-41 |
|
|
| This model is a fine-tuned version of [MLP-KTLim/llama-3-Korean-Bllossom-8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1043 |
|
|
| ## 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 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.1274 | 0.2105 | 1 | 1.1656 | |
| | 1.1303 | 0.4211 | 2 | 1.1285 | |
| | 1.1176 | 0.6316 | 3 | 1.1116 | |
| | 1.0886 | 0.8421 | 4 | 1.1043 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.42.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
