---
library_name: peft
license: gemma
base_model: unsloth/gemma-2-9b-it-bnb-4bit
tags:
- generated_from_trainer
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [unsloth/gemma-2-9b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3774
- Acc: 0.35
- Log Loss: 1.3774

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc  | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:----:|:--------:|
| 3.0058        | 1.0   | 10   | 1.8528          | 0.4  | 1.8527   |
| 2.9092        | 2.0   | 20   | 1.7207          | 0.45 | 1.7206   |
| 2.6161        | 3.0   | 30   | 1.5368          | 0.4  | 1.5367   |
| 2.3656        | 4.0   | 40   | 1.4192          | 0.35 | 1.4191   |
| 2.1831        | 5.0   | 50   | 1.3774          | 0.35 | 1.3774   |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0