---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA15H
  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. -->

# G0514HMA15H

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: -17.8971

## 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: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9162        | 0.09  | 10   | 0.0830          |
| -0.7664       | 0.18  | 20   | -2.0466         |
| -3.27         | 0.27  | 30   | -4.9484         |
| -6.242        | 0.36  | 40   | -7.9963         |
| -9.1799       | 0.45  | 50   | -10.7742        |
| -11.7646      | 0.54  | 60   | -13.2319        |
| -14.1063      | 0.63  | 70   | -15.1473        |
| -15.7143      | 0.73  | 80   | -16.3945        |
| -16.7127      | 0.82  | 90   | -17.0741        |
| -17.2299      | 0.91  | 100  | -17.4041        |
| -17.4683      | 1.0   | 110  | -17.5479        |
| -17.5857      | 1.09  | 120  | -17.6235        |
| -17.6418      | 1.18  | 130  | -17.6631        |
| -17.6771      | 1.27  | 140  | -17.6957        |
| -17.703       | 1.36  | 150  | -17.7160        |
| -17.7218      | 1.45  | 160  | -17.7272        |
| -17.7369      | 1.54  | 170  | -17.7463        |
| -17.7561      | 1.63  | 180  | -17.7646        |
| -17.7704      | 1.72  | 190  | -17.7808        |
| -17.7897      | 1.81  | 200  | -17.7972        |
| -17.8056      | 1.9   | 210  | -17.8223        |
| -17.8326      | 1.99  | 220  | -17.8447        |
| -17.8508      | 2.08  | 230  | -17.8658        |
| -17.8699      | 2.18  | 240  | -17.8773        |
| -17.8777      | 2.27  | 250  | -17.8862        |
| -17.8827      | 2.36  | 260  | -17.8912        |
| -17.889       | 2.45  | 270  | -17.8936        |
| -17.8917      | 2.54  | 280  | -17.8948        |
| -17.8936      | 2.63  | 290  | -17.8942        |
| -17.8949      | 2.72  | 300  | -17.8967        |
| -17.8934      | 2.81  | 310  | -17.8970        |
| -17.8964      | 2.9   | 320  | -17.8971        |
| -17.8956      | 2.99  | 330  | -17.8971        |


### Framework versions

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