| --- |
| base_model: 0x0dad0/nous_nb_02 |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: gemma-lr |
| 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: 0x0dad0/nous_nb_02 |
| model_type: GemmaForCausalLM |
| hub_model_id: gemma-lr |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| |
| datasets: |
| - path: tomaszki/gemma |
| - path: tomaszki/gemma-1 |
| - path: tomaszki/gemma-2 |
| - path: tomaszki/gemma-3 |
| - path: tomaszki/gemma-4 |
| - path: tomaszki/gemma-5 |
| - path: tomaszki/gemma-6 |
| - path: tomaszki/gemma-7 |
| - path: tomaszki/gemma-8 |
| - path: tomaszki/gemma-9 |
| - path: tomaszki/gemma-10 |
| - path: tomaszki/gemma-11 |
| - path: tomaszki/gemma-12 |
| - path: tomaszki/gemma-13 |
| - path: tomaszki/gemma-14 |
| - path: tomaszki/gemma-15 |
| - path: tomaszki/gemma-16 |
| - path: tomaszki/gemma-17 |
| - path: tomaszki/gemma-18 |
| - path: tomaszki/gemma-19 |
| - path: tomaszki/gemma-20 |
| - path: tomaszki/gemma-21 |
| - path: tomaszki/gemma-22 |
| - path: tomaszki/gemma-23 |
| - path: tomaszki/gemma-24 |
| - path: tomaszki/gemma-25 |
| - path: tomaszki/gemma-26 |
| - path: tomaszki/gemma-27 |
| - path: tomaszki/gemma-28 |
| - path: tomaszki/gemma-29 |
| val_set_size: 0.0 |
| output_dir: out |
| |
| sequence_len: 1024 |
| sample_packing: false |
| |
| wandb_project: axolotl |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 50 |
| micro_batch_size: 7 |
| num_epochs: 1 |
| optimizer: adamw_hf |
| lr_scheduler: cosine |
| learning_rate: 0.00001 |
| cosine_min_lr_ratio: 0.5 |
| max_grad_norm: 0.000001 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| fp16: false |
| 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> |
|
|
| # gemma-lr |
|
|
| This model is a fine-tuned version of [0x0dad0/nous_nb_02](https://huggingface.co/0x0dad0/nous_nb_02) 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: 1e-05 |
| - train_batch_size: 7 |
| - eval_batch_size: 7 |
| - seed: 42 |
| - gradient_accumulation_steps: 50 |
| - total_train_batch_size: 350 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.0.dev0 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.0 |
| |
