---
base_model: google/gemma-2-2b
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: resultsmath
  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. -->

# resultsmath

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co./google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6493

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0611        | 1.0   | 525  | 1.7073          |
| 1.7284        | 2.0   | 1050 | 1.6493          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1