---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2-9b-it
model-index:
- name: gemma2_9b_it_bwgenerator
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma2_9b_it_bwgenerator

This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1001

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6548        | 0.1050 | 50   | 0.2791          |
| 0.2089        | 0.2100 | 100  | 0.1805          |
| 0.1682        | 0.3149 | 150  | 0.1557          |
| 0.1494        | 0.4199 | 200  | 0.1405          |
| 0.1362        | 0.5249 | 250  | 0.1293          |
| 0.126         | 0.6299 | 300  | 0.1210          |
| 0.1109        | 0.7349 | 350  | 0.1042          |
| 0.1033        | 0.8398 | 400  | 0.1012          |
| 0.1007        | 0.9448 | 450  | 0.1001          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1