---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- llama-duo/synth_summarize_dataset_dedup
model-index:
- name: gemma2b-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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# gemma2b-summarize-gpt4o-8k

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the llama-duo/synth_summarize_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5343

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- total_eval_batch_size: 24
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.5077        | 0.9730 | 18   | 2.7787          |
| 1.6701        | 2.0    | 37   | 2.6000          |
| 1.3757        | 2.9730 | 55   | 2.5216          |
| 1.2905        | 4.0    | 74   | 2.5137          |
| 1.2291        | 4.9730 | 92   | 2.5113          |
| 1.1946        | 6.0    | 111  | 2.5235          |
| 1.1618        | 6.9730 | 129  | 2.5300          |
| 1.1521        | 8.0    | 148  | 2.5335          |
| 1.147         | 8.9730 | 166  | 2.5343          |
| 1.14          | 9.7297 | 180  | 2.5343          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1