| --- |
| library_name: peft |
| license: llama3.1 |
| base_model: meta-llama/Llama-3.1-8B-Instruct |
| tags: |
| - axolotl |
| - base_model:adapter:meta-llama/Llama-3.1-8B-Instruct |
| - lora |
| - transformers |
| datasets: |
| - AIPixelMedia/astrid-dataset |
| pipeline_tag: text-generation |
| model-index: |
| - name: outputs/astrid-llama-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: `0.13.0.dev0` |
| ```yaml |
| base_model: meta-llama/Llama-3.1-8B-Instruct |
| |
| load_in_8bit: false |
| |
| load_in_4bit: true |
| |
| strict: false |
| |
| adapter: lora |
| |
| datasets: |
| |
| - path: AIPixelMedia/astrid-dataset |
| |
| data_files: "*formatted.jsonl" |
| |
| type: alpaca |
| |
| dataset_prepared_path: last_run_prepared |
| |
| val_set_size: 0.1 |
| |
| output_dir: ./outputs/astrid-llama-8b |
| |
| sequence_len: 2048 |
| |
| sample_packing: true |
| |
| eval_sample_packing: false |
| |
| pad_to_sequence_len: true |
| |
| flash_attention: true |
| |
| seed: 35 |
| |
| gradient_accumulation_steps: 4 |
| |
| micro_batch_size: 2 |
| |
| num_epochs: 20 |
| |
| optimizer: paged_adamw_32bit |
| |
| learning_rate: 2e-5 |
| |
| lr_scheduler: cosine |
| |
| lora_r: 16 |
| |
| lora_alpha: 32 |
| |
| lora_dropout: 0.2 |
| |
| lora_target_modules: |
| |
| - q_proj |
| |
| - k_proj |
| |
| - v_proj |
| |
| - o_proj |
| |
| - gate_proj |
| |
| - up_proj |
| |
| - down_proj |
| |
| lora_modules_to_save: |
| |
| - lm_head |
| |
| merge_lora: false |
| |
| save_safetensors: true |
| |
| train_on_inputs: false |
| |
| group_by_length: true |
| |
| bf16: auto |
| |
| tf32: false |
| |
| gradient_checkpointing: true |
| |
| gradient_checkpointing_kwargs: |
| |
| use_reentrant: false |
| |
| eval_steps: 5 |
| |
| save_steps: 100 |
| |
| early_stopping_patience: 2 |
| |
| logging_steps: 5 |
| |
| warmup_steps: 10 |
| |
| weight_decay: 0.01 |
| |
| special_tokens: |
| |
| pad_token: "<|end_of_text|>" |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/astrid-llama-8b |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the AIPixelMedia/astrid-dataset dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3918 |
| - Memory/max Active (gib): 12.13 |
| - Memory/max Allocated (gib): 12.13 |
| - Memory/device Reserved (gib): 16.52 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 35 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.PAGED_ADAMW 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: 40 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Active (gib) | Allocated (gib) | Reserved (gib) | |
| |:-------------:|:-------:|:----:|:---------------:|:------------:|:---------------:|:--------------:| |
| | No log | 0 | 0 | 3.2546 | 11.95 | 11.95 | 12.15 | |
| | 3.1725 | 1.8889 | 5 | 3.2149 | 12.13 | 12.13 | 17.46 | |
| | 3.1171 | 3.4444 | 10 | 2.9429 | 12.13 | 12.13 | 16.52 | |
| | 2.6355 | 5.0 | 15 | 2.6398 | 12.13 | 12.13 | 16.52 | |
| | 2.3752 | 6.8889 | 20 | 2.5206 | 12.13 | 12.13 | 16.52 | |
| | 2.1869 | 8.4444 | 25 | 2.4464 | 12.13 | 12.13 | 16.52 | |
| | 2.0751 | 10.0 | 30 | 2.4187 | 12.13 | 12.13 | 16.52 | |
| | 2.0616 | 11.8889 | 35 | 2.4084 | 12.13 | 12.13 | 16.52 | |
| | 2.0263 | 13.4444 | 40 | 2.3918 | 12.13 | 12.13 | 16.52 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.17.1 |
| - Transformers 4.57.0 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
