---
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