---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
- ipex
- GPU Max 1100
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: Not-so-bright-AGI-v1
  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. -->

# Not-so-bright-AGI-v1

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: 2.1509

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training Hardware

This model was trained using Intel(R) Data Center GPU Max 1100

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 593

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.863         | 0.8197 | 100  | 2.5317          |
| 2.4375        | 1.6393 | 200  | 2.3196          |
| 2.3075        | 2.4590 | 300  | 2.2222          |
| 2.2199        | 3.2787 | 400  | 2.1742          |
| 2.1956        | 4.0984 | 500  | 2.1509          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.19.0
- Tokenizers 0.19.1