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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-2b-it-retrained_network_corpus

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: 2.3035

## 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
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9983        | 1.0   | 28   | 2.3757          |
| 2.1934        | 2.0   | 56   | 2.3035          |
| 1.6321        | 3.0   | 84   | 2.4507          |
| 1.1753        | 4.0   | 112  | 2.6984          |
| 0.8011        | 5.0   | 140  | 2.9980          |
| 0.5162        | 6.0   | 168  | 3.2588          |
| 0.304         | 7.0   | 196  | 3.7305          |
| 0.1822        | 8.0   | 224  | 4.0858          |
| 0.1148        | 9.0   | 252  | 4.3105          |
| 0.0855        | 10.0  | 280  | 4.5450          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1