---
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-64k
  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-64k

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: 2.5427

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.163         | 0.9975  | 200  | 2.5127          |
| 1.0647        | 2.0     | 401  | 2.4643          |
| 1.0051        | 2.9975  | 601  | 2.4610          |
| 0.9807        | 4.0     | 802  | 2.4767          |
| 0.9508        | 4.9975  | 1002 | 2.4788          |
| 0.9256        | 6.0     | 1203 | 2.4912          |
| 0.9216        | 6.9975  | 1403 | 2.5038          |
| 0.9094        | 8.0     | 1604 | 2.5124          |
| 0.8961        | 8.9975  | 1804 | 2.5246          |
| 0.8816        | 10.0    | 2005 | 2.5342          |
| 0.8722        | 10.9975 | 2205 | 2.5346          |
| 0.8768        | 12.0    | 2406 | 2.5410          |
| 0.8694        | 12.9975 | 2606 | 2.5415          |
| 0.8709        | 14.0    | 2807 | 2.5418          |
| 0.8781        | 14.9626 | 3000 | 2.5427          |


### Framework versions

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