---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- generator
model-index:
- name: gemma7b-summarize-gpt4o-1k
  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-gpt4o-1k

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: 2.8104

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 37.3003       | 0.9231 | 6    | 12.3240         |
| 21.0453       | 2.0    | 13   | 7.5884          |
| 17.809        | 2.9231 | 19   | 5.6549          |
| 3.5386        | 4.0    | 26   | 3.1607          |
| 2.02          | 4.9231 | 32   | 2.8709          |
| 1.732         | 6.0    | 39   | 2.7893          |
| 1.4072        | 6.9231 | 45   | 2.7970          |
| 1.3061        | 8.0    | 52   | 2.8125          |
| 1.2613        | 8.9231 | 58   | 2.8098          |
| 1.2304        | 9.2308 | 60   | 2.8104          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1