---
base_model: google/gemma-2b-it
datasets:
- generator
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: new_genna_nodel
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# new_genna_nodel

This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7368

## 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: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.335         | 1.0   | 649  | 2.4869          |
| 2.1888        | 2.0   | 1298 | 2.5154          |
| 2.0938        | 3.0   | 1947 | 2.5809          |
| 1.9877        | 4.0   | 2596 | 2.6546          |
| 1.8859        | 5.0   | 3245 | 2.7368          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1