---
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_older_data
  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_older_data

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: 0.0854

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.4812        | 0.1524 | 100  | 0.1790          |
| 0.1525        | 0.3048 | 200  | 0.1263          |
| 0.1041        | 0.4572 | 300  | 0.0948          |
| 0.0913        | 0.6096 | 400  | 0.0931          |
| 0.0863        | 0.7619 | 500  | 0.0892          |
| 0.083         | 0.9143 | 600  | 0.0854          |


### Framework versions

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