---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- chansung/merge_summarize_dataset
model-index:
- name: gemma7b-summarize-11k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma7b-summarize-11k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/merge_summarize_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6219

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.8367        | 0.9907 | 53   | 2.7327          |
| 1.0189        | 2.0    | 107  | 2.3246          |
| 0.8788        | 2.9907 | 160  | 2.2786          |
| 0.8104        | 4.0    | 214  | 2.2754          |
| 0.7626        | 4.9907 | 267  | 2.3205          |
| 0.6665        | 6.0    | 321  | 2.3903          |
| 0.6015        | 6.9907 | 374  | 2.4630          |
| 0.5699        | 8.0    | 428  | 2.5837          |
| 0.5017        | 8.9907 | 481  | 2.6300          |
| 0.4969        | 9.9065 | 530  | 2.6219          |


### Framework versions

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