---
license: apache-2.0
base_model: unsloth/codegemma-7b-it
tags:
- trl
- sft
- unsloth
- generated_from_trainer
- unsloth
datasets:
- generator
model-index:
- name: ShaderLLM-CodeGemma-7b-it
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ShaderLLM-CodeGemma-7b-it

This model is a fine-tuned version of [unsloth/codegemma-7b-it](https://huggingface.co/unsloth/codegemma-7b-it) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3759

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.375         | 0.53  | 1000 | 3.3759          |
| 3.4688        | 1.06  | 2000 | 3.3759          |
| 3.7031        | 1.59  | 3000 | 3.3759          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2