---
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-claude3sonnet-32k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma2b-summarize-claude3sonnet-32k

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: 2.5238

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.2361        | 0.9951 | 101  | 2.5186          |
| 1.0968        | 2.0    | 203  | 2.4845          |
| 1.0436        | 2.9951 | 304  | 2.4796          |
| 1.0084        | 4.0    | 406  | 2.4944          |
| 0.9913        | 4.9951 | 507  | 2.5010          |
| 0.9588        | 6.0    | 609  | 2.5066          |
| 0.9459        | 6.9951 | 710  | 2.5164          |
| 0.943         | 8.0    | 812  | 2.5233          |
| 0.9169        | 8.9951 | 913  | 2.5240          |
| 0.925         | 9.9507 | 1010 | 2.5238          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1