---
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-128k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gemma2b-summarize-claude3sonnet-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: 2.5270

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.097         | 1.0   | 402  | 2.4839          |
| 1.0176        | 2.0   | 804  | 2.4534          |
| 0.9746        | 3.0   | 1206 | 2.4625          |
| 0.9525        | 4.0   | 1608 | 2.4586          |
| 0.9361        | 5.0   | 2010 | 2.4669          |
| 0.9077        | 6.0   | 2412 | 2.4844          |
| 0.896         | 7.0   | 2814 | 2.4947          |
| 0.8858        | 8.0   | 3216 | 2.5056          |
| 0.8811        | 9.0   | 3618 | 2.5128          |
| 0.8634        | 10.0  | 4020 | 2.5166          |
| 0.8758        | 11.0  | 4422 | 2.5237          |
| 0.8644        | 12.0  | 4824 | 2.5264          |
| 0.8641        | 13.0  | 5226 | 2.5268          |
| 0.8607        | 14.0  | 5628 | 2.5271          |
| 0.8609        | 15.0  | 6030 | 2.5270          |


### Framework versions

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