---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514BMA5b
  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. -->

# G0514BMA5b

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: -17.5764

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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: 80
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| -0.1378       | 0.09  | 10   | -0.4063         |
| -0.7754       | 0.18  | 20   | -1.3256         |
| -1.8887       | 0.27  | 30   | -2.7074         |
| -3.4996       | 0.36  | 40   | -4.6101         |
| -5.6334       | 0.45  | 50   | -7.0234         |
| -8.1253       | 0.54  | 60   | -9.6448         |
| -10.8034      | 0.63  | 70   | -12.2239        |
| -13.2442      | 0.73  | 80   | -14.4267        |
| -15.137       | 0.82  | 90   | -15.8906        |
| -16.2451      | 0.91  | 100  | -16.5978        |
| -16.7446      | 1.0   | 110  | -16.9186        |
| -17.0061      | 1.09  | 120  | -17.0987        |
| -17.1516      | 1.18  | 130  | -17.2214        |
| -17.2598      | 1.27  | 140  | -17.3048        |
| -17.3215      | 1.36  | 150  | -17.3631        |
| -17.3805      | 1.45  | 160  | -17.4073        |
| -17.4204      | 1.54  | 170  | -17.4427        |
| -17.455       | 1.63  | 180  | -17.4700        |
| -17.4781      | 1.72  | 190  | -17.4923        |
| -17.501       | 1.81  | 200  | -17.5113        |
| -17.5135      | 1.9   | 210  | -17.5260        |
| -17.5294      | 1.99  | 220  | -17.5379        |
| -17.5391      | 2.08  | 230  | -17.5475        |
| -17.5526      | 2.18  | 240  | -17.5551        |
| -17.5589      | 2.27  | 250  | -17.5616        |
| -17.5631      | 2.36  | 260  | -17.5665        |
| -17.5685      | 2.45  | 270  | -17.5701        |
| -17.5727      | 2.54  | 280  | -17.5724        |
| -17.5698      | 2.63  | 290  | -17.5743        |
| -17.5709      | 2.72  | 300  | -17.5755        |
| -17.5732      | 2.81  | 310  | -17.5761        |
| -17.5761      | 2.9   | 320  | -17.5764        |
| -17.5794      | 2.99  | 330  | -17.5764        |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0