---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- llama-duo/synth_summarize_dataset
model-index:
- name: gemma7b-summarize-gpt4o-80k
  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-80k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1111

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2272        | 1.0   | 111  | 2.3900          |
| 0.9374        | 2.0   | 222  | 2.1928          |
| 0.8471        | 3.0   | 333  | 2.1682          |
| 0.7873        | 4.0   | 444  | 2.2036          |
| 0.685         | 5.0   | 555  | 2.2977          |
| 0.6223        | 6.0   | 666  | 2.4441          |
| 0.5378        | 7.0   | 777  | 2.6715          |
| 0.458         | 8.0   | 888  | 2.9555          |
| 0.3843        | 9.0   | 999  | 3.4365          |
| 0.3241        | 10.0  | 1110 | 3.8823          |
| 0.2825        | 11.0  | 1221 | 4.4044          |
| 0.2549        | 12.0  | 1332 | 4.8382          |
| 0.2408        | 13.0  | 1443 | 5.0611          |
| 0.2361        | 14.0  | 1554 | 5.1061          |
| 0.2319        | 15.0  | 1665 | 5.1111          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1