---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: google/gemma-7b
model-index:
- name: gemma-7b-dolly-chatml
  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. -->

# gemma-7b-dolly-chatml

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) with [philschmid/gemma-tokenizer-chatml](https://huggingface.co/philschmid/gemma-tokenizer-chatml) tokenizer on the [philschmid/dolly-15k-oai-style](https://huggingface.co/datasets/philschmid/dolly-15k-oai-style) using the chatML format. 

The model was fine-tuned with the following [script using Lora (no, qlora)](). I also included a [inference script]() to make sure it works since there were some issues with Gemma. Results of the inference test are

```bash

```


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0