---
library_name: peft
license: gemma
base_model: google/gemma-7b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: gemma7b-lora-alpaca-11-v1
  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. -->

# gemma7b-lora-alpaca-11-v1

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6643

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.9056        | 0.9924 | 65   | 2.6113          |
| 1.8271        | 2.0    | 131  | 1.8230          |
| 1.7019        | 2.9924 | 196  | 1.7041          |
| 1.7024        | 4.0    | 262  | 1.6962          |
| 1.6463        | 4.9618 | 325  | 1.6643          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3