---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: unsloth/gemma-2b-bnb-4bit
metrics:
- accuracy
model-index:
- name: gemma-qwantz-punchline
  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-qwantz-punchline

This model is a fine-tuned version of [unsloth/gemma-2b-bnb-4bit](https://huggingface.co/unsloth/gemma-2b-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4710
- Accuracy: 0.7824

## 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: 0.0001
- 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: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6508        | 1.0   | 150  | 0.6241          | 0.6235   |
| 0.5972        | 2.0   | 300  | 0.5388          | 0.7353   |
| 0.4801        | 3.0   | 450  | 0.4710          | 0.7824   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1