---
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-8k
  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-8k

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: 2.8129

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 30.8653       | 1.0   | 14   | 10.6638         |
| 18.5328       | 2.0   | 28   | 7.3031          |
| 11.486        | 3.0   | 42   | 6.6280          |
| 2.4959        | 4.0   | 56   | 3.5087          |
| 1.742         | 5.0   | 70   | 3.0216          |
| 1.5971        | 6.0   | 84   | 2.8802          |
| 1.4792        | 7.0   | 98   | 2.8307          |
| 1.4333        | 8.0   | 112  | 2.8081          |
| 1.4129        | 9.0   | 126  | 2.8151          |
| 1.4048        | 10.0  | 140  | 2.8129          |


### Framework versions

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