---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b-it
model-index:
- name: spider-gemma7b-it
  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. -->

# spider-gemma7b-it

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1600

## 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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4778        | 0.16  | 100  | 0.4999          |
| 0.2964        | 0.33  | 200  | 0.3364          |
| 0.2383        | 0.49  | 300  | 0.2924          |
| 0.2077        | 0.65  | 400  | 0.2551          |
| 0.1909        | 0.82  | 500  | 0.2283          |
| 0.1831        | 0.98  | 600  | 0.2188          |
| 0.1595        | 1.14  | 700  | 0.1855          |
| 0.1566        | 1.31  | 800  | 0.1779          |
| 0.1581        | 1.47  | 900  | 0.1706          |
| 0.1507        | 1.63  | 1000 | 0.1679          |
| 0.1515        | 1.8   | 1100 | 0.1689          |
| 0.1514        | 1.96  | 1200 | 0.1600          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2