---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- llama-duo/synth_summarize_dataset_dedup
base_model: google/gemma-7b
model-index:
- name: gemma7b-summarize-gpt4o-4k
  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-4k

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: 6.0322

## 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: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 44.3098       | 1.0   | 7    | 13.7204         |
| 25.7366       | 2.0   | 14   | 8.6916          |
| 19.0375       | 3.0   | 21   | 7.6308          |
| 18.2973       | 4.0   | 28   | 7.1198          |
| 14.8387       | 5.0   | 35   | 6.8470          |
| 12.5684       | 6.0   | 42   | 6.8495          |
| 9.6308        | 7.0   | 49   | 6.6799          |
| 5.7187        | 8.0   | 56   | 6.0818          |
| 4.8487        | 9.0   | 63   | 6.0318          |
| 4.4303        | 10.0  | 70   | 6.0322          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1