---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b-it
model-index:
- name: gemma_FT_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma_FT_2

This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6202

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.0277        | 0.0005 | 1    | 3.5558          |
| 3.3686        | 0.0011 | 2    | 3.4906          |
| 3.285         | 0.0016 | 3    | 3.3311          |
| 3.025         | 0.0021 | 4    | 3.1640          |
| 3.2431        | 0.0026 | 5    | 3.0050          |
| 3.0431        | 0.0032 | 6    | 2.8713          |
| 2.3602        | 0.0037 | 7    | 2.7724          |
| 2.8696        | 0.0042 | 8    | 2.7056          |
| 2.6496        | 0.0047 | 9    | 2.6637          |
| 2.6983        | 0.0053 | 10   | 2.6401          |
| 2.2396        | 0.0058 | 11   | 2.6268          |
| 2.4519        | 0.0063 | 12   | 2.6202          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1