---
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-gemini1_5flash-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-gemini1_5flash-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: 2.5133

## 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: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.7544        | 0.9630 | 13   | 2.8722          |
| 1.7723        | 2.0    | 27   | 2.6064          |
| 1.4023        | 2.9630 | 40   | 2.5710          |
| 1.2778        | 4.0    | 54   | 2.5349          |
| 1.1848        | 4.9630 | 67   | 2.5176          |
| 1.1522        | 6.0    | 81   | 2.5045          |
| 1.1305        | 6.9630 | 94   | 2.5065          |
| 1.1075        | 8.0    | 108  | 2.5136          |
| 1.1049        | 8.9630 | 121  | 2.5129          |
| 1.1048        | 9.6296 | 130  | 2.5133          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1