---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA9H
  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. -->

# G0514HMA9H

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: -17.8302

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9517        | 0.09  | 10   | 0.1638          |
| -0.6528       | 0.18  | 20   | -1.9084         |
| -3.1267       | 0.27  | 30   | -4.7902         |
| -6.0596       | 0.36  | 40   | -7.8054         |
| -9.0118       | 0.45  | 50   | -10.6366        |
| -11.6312      | 0.54  | 60   | -13.0868        |
| -13.9766      | 0.63  | 70   | -15.0345        |
| -15.6124      | 0.73  | 80   | -16.3032        |
| -16.6378      | 0.82  | 90   | -17.0207        |
| -17.1714      | 0.91  | 100  | -17.3497        |
| -17.4216      | 1.0   | 110  | -17.5126        |
| -17.5543      | 1.09  | 120  | -17.5999        |
| -17.6217      | 1.18  | 130  | -17.6473        |
| -17.6609      | 1.27  | 140  | -17.6818        |
| -17.6899      | 1.36  | 150  | -17.7041        |
| -17.7101      | 1.45  | 160  | -17.7147        |
| -17.7215      | 1.54  | 170  | -17.7306        |
| -17.7352      | 1.63  | 180  | -17.7425        |
| -17.7484      | 1.72  | 190  | -17.7559        |
| -17.7629      | 1.81  | 200  | -17.7670        |
| -17.77        | 1.9   | 210  | -17.7756        |
| -17.7798      | 1.99  | 220  | -17.7847        |
| -17.7898      | 2.08  | 230  | -17.7911        |
| -17.799       | 2.18  | 240  | -17.7988        |
| -17.8001      | 2.27  | 250  | -17.8040        |
| -17.807       | 2.36  | 260  | -17.8101        |
| -17.8173      | 2.45  | 270  | -17.8156        |
| -17.8186      | 2.54  | 280  | -17.8207        |
| -17.8237      | 2.63  | 290  | -17.8248        |
| -17.8266      | 2.72  | 300  | -17.8279        |
| -17.8269      | 2.81  | 310  | -17.8294        |
| -17.8338      | 2.9   | 320  | -17.8301        |
| -17.831       | 2.99  | 330  | -17.8302        |


### Framework versions

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