---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- llama-duo/synth_summarize_dataset_dedup
base_model: google/gemma-7b
model-index:
- name: gemma7b-summarize-claude3sonnet-128k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma7b-summarize-claude3sonnet-128k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5222

## 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.0247        | 0.9983 | 301  | 2.5396          |
| 0.9144        | 2.0    | 603  | 2.4619          |
| 0.8616        | 2.9983 | 904  | 2.4534          |
| 0.8075        | 4.0    | 1206 | 2.4530          |
| 0.7724        | 4.9983 | 1507 | 2.4674          |
| 0.7571        | 6.0    | 1809 | 2.4825          |
| 0.7389        | 6.9983 | 2110 | 2.5147          |
| 0.7223        | 8.0    | 2412 | 2.5135          |
| 0.7178        | 8.9983 | 2713 | 2.5209          |
| 0.7148        | 9.9834 | 3010 | 2.5222          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1