---
base_model: unsloth/gemma-2-9b-it-bnb-4bit
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: chatbot-arena-20240726
  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. -->

# chatbot-arena-20240726

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9601
- Acc: 0.5312
- Log Loss: 0.9601

## 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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Acc    | Log Loss |
|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
| 1.1335        | 0.2195 | 100  | 1.0572          | 0.4740 | 1.0572   |
| 1.0353        | 0.4391 | 200  | 1.1517          | 0.4740 | 1.1517   |
| 0.9498        | 0.6586 | 300  | 0.9858          | 0.5182 | 0.9858   |
| 0.9488        | 0.8782 | 400  | 0.9601          | 0.5312 | 0.9601   |


### Framework versions

- PEFT 0.11.1
- Transformers 4.43.3
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1