---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- llama-duo/synth_summarize_dataset_dedup
model-index:
- name: gemma7b-summarize-gpt4o-2k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma7b-summarize-gpt4o-2k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2983

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 23.4809       | 1.0   | 13   | 8.2506          |
| 7.0034        | 2.0   | 26   | 3.5645          |
| 1.9278        | 3.0   | 39   | 2.7831          |
| 1.3284        | 4.0   | 52   | 2.7295          |
| 1.046         | 5.0   | 65   | 2.7647          |
| 0.8611        | 6.0   | 78   | 2.8629          |
| 0.7242        | 7.0   | 91   | 3.0405          |
| 0.6192        | 8.0   | 104  | 3.1549          |
| 0.5312        | 9.0   | 117  | 3.3041          |
| 0.5202        | 10.0  | 130  | 3.2983          |


### Framework versions

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