---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma2b-summarize-gpt4o-64k
  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-gpt4o-64k

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5990

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2959        | 1.0   | 146  | 2.5295          |
| 1.1524        | 2.0   | 292  | 2.4913          |
| 1.1138        | 3.0   | 438  | 2.4847          |
| 1.0703        | 4.0   | 584  | 2.4927          |
| 1.0423        | 5.0   | 730  | 2.5080          |
| 1.0322        | 6.0   | 876  | 2.5202          |
| 1.0113        | 7.0   | 1022 | 2.5385          |
| 0.9857        | 8.0   | 1168 | 2.5522          |
| 0.9865        | 9.0   | 1314 | 2.5657          |
| 0.9691        | 10.0  | 1460 | 2.5774          |
| 0.952         | 11.0  | 1606 | 2.5889          |
| 0.97          | 12.0  | 1752 | 2.5957          |
| 0.9514        | 13.0  | 1898 | 2.5988          |
| 0.9469        | 14.0  | 2044 | 2.5997          |
| 0.9469        | 15.0  | 2190 | 2.5990          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1