| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: openlm-research/open_llama_3b_v2 |
| model-index: |
| - name: qlora-out |
| 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: `0.4.0` |
| ```yaml |
| base_model: openlm-research/open_llama_3b_v2 |
| model_type: LlamaForCausalLM |
| tokenizer_type: LlamaTokenizer |
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
| push_dataset_to_hub: |
| datasets: |
| - path: mhenrichsen/alpaca_2k_test |
| type: alpaca |
| dataset_prepared_path: |
| val_set_size: 0.05 |
| adapter: qlora |
| lora_model_dir: |
| sequence_len: 1024 |
| sample_packing: true |
| lora_r: 8 |
| lora_alpha: 32 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| wandb_project: |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| output_dir: ./qlora-out |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 1 |
| num_epochs: 1 |
| optimizer: paged_adamw_32bit |
| torchdistx_path: |
| lr_scheduler: cosine |
| learning_rate: 0.0002 |
| train_on_inputs: false |
| group_by_length: false |
| bf16: false |
| fp16: true |
| tf32: false |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| gptq_groupsize: |
| gptq_model_v1: |
| warmup_steps: 20 |
| evals_per_epoch: 4 |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.1 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| bos_token: "<s>" |
| eos_token: "</s>" |
| unk_token: "<unk>" |
| |
| ``` |
|
|
| </details><br> |
|
|
| # qlora-out |
|
|
| This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1110 |
|
|
| ## 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: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.4577 | 0.0 | 1 | 1.3470 | |
| | 1.3192 | 0.25 | 107 | 1.1376 | |
| | 1.3095 | 0.5 | 214 | 1.1225 | |
| | 1.3178 | 0.75 | 321 | 1.1110 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.40.0.dev0 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.0 |
