---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA17H
  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. -->

# G0514HMA17H

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: -17.8863

## 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: 60
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7397        | 0.09  | 10   | -0.3975         |
| -1.7057       | 0.18  | 20   | -3.6259         |
| -5.262        | 0.27  | 30   | -7.4840         |
| -9.0284       | 0.36  | 40   | -11.0077        |
| -12.2555      | 0.45  | 50   | -13.9478        |
| -14.8695      | 0.54  | 60   | -15.9731        |
| -16.4824      | 0.63  | 70   | -16.9638        |
| -17.1562      | 0.73  | 80   | -17.3577        |
| -17.4316      | 0.82  | 90   | -17.5211        |
| -17.562       | 0.91  | 100  | -17.6057        |
| -17.6246      | 1.0   | 110  | -17.6531        |
| -17.6704      | 1.09  | 120  | -17.6811        |
| -17.691       | 1.18  | 130  | -17.7006        |
| -17.7076      | 1.27  | 140  | -17.7180        |
| -17.7234      | 1.36  | 150  | -17.7314        |
| -17.738       | 1.45  | 160  | -17.7406        |
| -17.7492      | 1.54  | 170  | -17.7580        |
| -17.7665      | 1.63  | 180  | -17.7743        |
| -17.7825      | 1.72  | 190  | -17.7921        |
| -17.8068      | 1.81  | 200  | -17.8132        |
| -17.8209      | 1.9   | 210  | -17.8311        |
| -17.8385      | 1.99  | 220  | -17.8439        |
| -17.8464      | 2.08  | 230  | -17.8522        |
| -17.8595      | 2.18  | 240  | -17.8657        |
| -17.8688      | 2.27  | 250  | -17.8729        |
| -17.8733      | 2.36  | 260  | -17.8783        |
| -17.8725      | 2.45  | 270  | -17.8809        |
| -17.8806      | 2.54  | 280  | -17.8834        |
| -17.8837      | 2.63  | 290  | -17.8849        |
| -17.884       | 2.72  | 300  | -17.8855        |
| -17.8807      | 2.81  | 310  | -17.8860        |
| -17.8864      | 2.9   | 320  | -17.8863        |
| -17.8839      | 2.99  | 330  | -17.8863        |


### Framework versions

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