---
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-128k
  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-128k

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: 2.7978

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1249        | 1.0   | 293  | 2.4641          |
| 1.0415        | 2.0   | 586  | 2.4514          |
| 0.9915        | 3.0   | 879  | 2.4750          |
| 0.9551        | 4.0   | 1172 | 2.5292          |
| 0.9287        | 5.0   | 1465 | 2.5925          |
| 0.8733        | 6.0   | 1758 | 2.6555          |
| 0.8577        | 7.0   | 2051 | 2.7316          |
| 0.8364        | 8.0   | 2344 | 2.7742          |
| 0.8311        | 9.0   | 2637 | 2.7971          |
| 0.8243        | 10.0  | 2930 | 2.7978          |


### Framework versions

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