Instructions to use tomaszki/model-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tomaszki/nous-thirty-four-0") model = PeftModel.from_pretrained(base_model, "tomaszki/model-21") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| tags: | |
| - axolotl | |
| - generated_from_trainer | |
| base_model: tomaszki/nous-thirty-four-0 | |
| model-index: | |
| - name: model-21 | |
| 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: tomaszki/nous-thirty-four-0 | |
| model_type: LlamaForCausalLM | |
| is_llama_derived_model: true | |
| hub_model_id: model-21 | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| datasets: | |
| - path: tomaszki/nous-finetune-axolotl-completion-21 | |
| val_set_size: 0.0 | |
| output_dir: model-21 | |
| sequence_len: 512 | |
| sample_packing: false | |
| wandb_project: axolotl | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| adapter: lora | |
| lora_model_dir: | |
| lora_r: 32 | |
| lora_alpha: 16 | |
| lora_dropout: 0.00 | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 12 | |
| num_epochs: 2 | |
| optimizer: adamw_hf | |
| lr_scheduler: cosine | |
| learning_rate: 0.00001 | |
| cosine_min_lr_ratio: 0.5 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: false | |
| gradient_checkpointing: false | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| warmup_steps: 0 | |
| saves_per_epoch: 1 | |
| debug: | |
| deepspeed: #deepspeed_configs/zero2.json | |
| weight_decay: 0.01 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| ``` | |
| </details><br> | |
| # model-21 | |
| This model is a fine-tuned version of [tomaszki/nous-thirty-four-0](https://huggingface.co/tomaszki/nous-thirty-four-0) on an unknown 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: 12 | |
| - eval_batch_size: 12 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 2 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.8.2 | |
| - Transformers 4.39.0.dev0 | |
| - Pytorch 2.1.2+cu118 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.15.0 |