---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma-2b-it-laacks
  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. -->

# gemma-2b-it-laacks

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: 2.0521

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 2500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.1593        | 0.2908 | 100  | 2.9485          |
| 2.5908        | 0.5816 | 200  | 2.4415          |
| 2.3649        | 0.8724 | 300  | 2.3041          |
| 2.2468        | 1.1632 | 400  | 2.2207          |
| 2.1819        | 1.4540 | 500  | 2.1656          |
| 2.1336        | 1.7448 | 600  | 2.1341          |
| 2.1159        | 2.0356 | 700  | 2.1147          |
| 2.0967        | 2.3264 | 800  | 2.1016          |
| 2.0911        | 2.6172 | 900  | 2.0917          |
| 2.0663        | 2.9080 | 1000 | 2.0843          |
| 2.057         | 3.1988 | 1100 | 2.0781          |
| 2.0521        | 3.4896 | 1200 | 2.0732          |
| 2.0585        | 3.7804 | 1300 | 2.0691          |
| 2.0546        | 4.0712 | 1400 | 2.0659          |
| 2.048         | 4.3621 | 1500 | 2.0629          |
| 2.0428        | 4.6529 | 1600 | 2.0606          |
| 2.0339        | 4.9437 | 1700 | 2.0587          |
| 2.0295        | 5.2345 | 1800 | 2.0572          |
| 2.037         | 5.5253 | 1900 | 2.0558          |
| 2.0279        | 5.8161 | 2000 | 2.0545          |
| 2.0322        | 6.1069 | 2100 | 2.0535          |
| 2.0344        | 6.3977 | 2200 | 2.0528          |
| 2.0197        | 6.6885 | 2300 | 2.0525          |
| 2.0332        | 6.9793 | 2400 | 2.0521          |
| 2.0242        | 7.2701 | 2500 | 2.0521          |


### Framework versions

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