---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA26H
  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. -->

# G0514HMA26H

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: -17.9022

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8009        | 0.09  | 10   | -0.2103         |
| -1.0796       | 0.18  | 20   | -2.5087         |
| -3.9095       | 0.27  | 30   | -5.8273         |
| -7.2606       | 0.36  | 40   | -9.1358         |
| -10.3742      | 0.45  | 50   | -12.0428        |
| -13.0694      | 0.54  | 60   | -14.4715        |
| -15.2349      | 0.63  | 70   | -16.0930        |
| -16.5217      | 0.73  | 80   | -16.9969        |
| -17.1884      | 0.82  | 90   | -17.3938        |
| -17.4707      | 0.91  | 100  | -17.5554        |
| -17.5868      | 1.0   | 110  | -17.6315        |
| -17.6564      | 1.09  | 120  | -17.6735        |
| -17.688       | 1.18  | 130  | -17.7003        |
| -17.709       | 1.27  | 140  | -17.7200        |
| -17.7262      | 1.36  | 150  | -17.7362        |
| -17.7401      | 1.45  | 160  | -17.7476        |
| -17.7557      | 1.54  | 170  | -17.7664        |
| -17.7777      | 1.63  | 180  | -17.7896        |
| -17.7948      | 1.72  | 190  | -17.8078        |
| -17.8232      | 1.81  | 200  | -17.8337        |
| -17.8393      | 1.9   | 210  | -17.8518        |
| -17.8561      | 1.99  | 220  | -17.8679        |
| -17.8673      | 2.08  | 230  | -17.8730        |
| -17.8748      | 2.18  | 240  | -17.8887        |
| -17.8874      | 2.27  | 250  | -17.8931        |
| -17.8901      | 2.36  | 260  | -17.8972        |
| -17.8918      | 2.45  | 270  | -17.8974        |
| -17.8952      | 2.54  | 280  | -17.9002        |
| -17.898       | 2.63  | 290  | -17.9012        |
| -17.8994      | 2.72  | 300  | -17.9019        |
| -17.8999      | 2.81  | 310  | -17.9020        |
| -17.9012      | 2.9   | 320  | -17.9022        |
| -17.8998      | 2.99  | 330  | -17.9022        |


### Framework versions

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