---
library_name: transformers
license: gemma
base_model: google/gemma-2b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-gemma-sft
  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. -->

# zephyr-7b-gemma-sft

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: 1.3544

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2658        | 1.0   | 326  | 1.2135          |
| 0.8841        | 2.0   | 652  | 1.2135          |
| 0.7012        | 3.0   | 978  | 1.3544          |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.1.2
- Datasets 3.0.2
- Tokenizers 0.20.1