---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- llama-duo/coverage_dataset
model-index:
- name: gemma7b-summarize
  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-summarize

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/coverage_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3615

## 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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 17.2572       | 1.0   | 5    | 11.2704         |
| 10.1138       | 2.0   | 10   | 7.8912          |
| 7.7504        | 3.0   | 15   | 7.1928          |
| 7.0505        | 4.0   | 20   | 6.8083          |
| 6.6144        | 5.0   | 25   | 6.4041          |
| 6.066         | 6.0   | 30   | 5.7488          |
| 5.1349        | 7.0   | 35   | 4.6655          |
| 3.9891        | 8.0   | 40   | 3.7537          |
| 3.293         | 9.0   | 45   | 3.3924          |
| 3.098         | 10.0  | 50   | 3.3615          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1