---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0428B1
  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. -->

# G0428B1

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1474

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 60
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.238         | 0.09  | 10   | 1.8587          |
| 1.7567        | 0.18  | 20   | 1.5411          |
| 1.2688        | 0.27  | 30   | 0.8329          |
| 0.5198        | 0.36  | 40   | 0.2499          |
| 0.1877        | 0.45  | 50   | 0.1580          |
| 0.1639        | 0.54  | 60   | 0.1526          |
| 0.1475        | 0.63  | 70   | 0.1475          |
| 0.1626        | 0.73  | 80   | 0.1470          |
| 0.1406        | 0.82  | 90   | 0.1481          |
| 0.1536        | 0.91  | 100  | 0.1477          |
| 0.1551        | 1.0   | 110  | 0.1474          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1