---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
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: 2.0548

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training Hardware

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

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9165        | 3.2   | 100  | 2.6762          |
| 2.419         | 6.4   | 200  | 2.3629          |
| 2.2343        | 9.6   | 300  | 2.2060          |
| 2.1459        | 12.8  | 400  | 2.1401          |
| 2.0944        | 16.0  | 500  | 2.1112          |
| 2.0679        | 19.2  | 600  | 2.0942          |
| 2.0496        | 22.4  | 700  | 2.0826          |
| 2.0375        | 25.6  | 800  | 2.0743          |
| 2.0213        | 28.8  | 900  | 2.0684          |
| 2.0148        | 32.0  | 1000 | 2.0630          |
| 2.0048        | 35.2  | 1100 | 2.0593          |
| 1.9988        | 38.4  | 1200 | 2.0575          |
| 1.9968        | 41.6  | 1300 | 2.0555          |
| 1.9908        | 44.8  | 1400 | 2.0548          |


### Framework versions

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