---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: google/gemma-2b-it
model-index:
- name: outputs-82
  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. -->

# outputs-82

This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7601

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7165        | 1.0   | 15   | 1.7252          |
| 1.4588        | 2.0   | 30   | 1.5242          |
| 1.0786        | 3.0   | 45   | 1.5330          |
| 0.7402        | 4.0   | 60   | 1.6618          |
| 0.457         | 5.0   | 75   | 1.8911          |
| 0.2542        | 6.0   | 90   | 2.1658          |
| 0.1315        | 7.0   | 105  | 2.4128          |
| 0.0753        | 8.0   | 120  | 2.5541          |
| 0.0532        | 9.0   | 135  | 2.6873          |
| 0.0406        | 10.0  | 150  | 2.7601          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2