---
library_name: peft
license: gemma
base_model: google/gemma-2-2b
tags:
- generated_from_trainer
pipeline_tag: text-generation
model-index:
- name: gemma-2-2b-dora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-2-2b-dora

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1220
- eval_runtime: 892.4684
- eval_samples_per_second: 6.333
- eval_steps_per_second: 1.583
- epoch: 0.0315
- step: 100

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3