---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA1H
  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. -->

# G0514HMA1H

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: -17.7428

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9766        | 0.09  | 10   | 0.1938          |
| -0.7095       | 0.18  | 20   | -2.1543         |
| -3.5129       | 0.27  | 30   | -5.3325         |
| -6.6654       | 0.36  | 40   | -8.4889         |
| -9.7041       | 0.45  | 50   | -11.4077        |
| -12.4428      | 0.54  | 60   | -13.8134        |
| -14.5638      | 0.63  | 70   | -15.4354        |
| -15.9411      | 0.73  | 80   | -16.4692        |
| -16.7235      | 0.82  | 90   | -17.0250        |
| -17.1404      | 0.91  | 100  | -17.2723        |
| -17.3354      | 1.0   | 110  | -17.4128        |
| -17.4522      | 1.09  | 120  | -17.4974        |
| -17.5272      | 1.18  | 130  | -17.5592        |
| -17.5718      | 1.27  | 140  | -17.6055        |
| -17.6154      | 1.36  | 150  | -17.6336        |
| -17.6416      | 1.45  | 160  | -17.6542        |
| -17.656       | 1.54  | 170  | -17.6683        |
| -17.6769      | 1.63  | 180  | -17.6832        |
| -17.6876      | 1.72  | 190  | -17.6950        |
| -17.6975      | 1.81  | 200  | -17.7028        |
| -17.7043      | 1.9   | 210  | -17.7114        |
| -17.7137      | 1.99  | 220  | -17.7188        |
| -17.7217      | 2.08  | 230  | -17.7245        |
| -17.7306      | 2.18  | 240  | -17.7293        |
| -17.7293      | 2.27  | 250  | -17.7330        |
| -17.7348      | 2.36  | 260  | -17.7365        |
| -17.741       | 2.45  | 270  | -17.7386        |
| -17.7415      | 2.54  | 280  | -17.7403        |
| -17.7442      | 2.63  | 290  | -17.7410        |
| -17.7456      | 2.72  | 300  | -17.7422        |
| -17.7426      | 2.81  | 310  | -17.7425        |
| -17.7471      | 2.9   | 320  | -17.7427        |
| -17.7473      | 2.99  | 330  | -17.7428        |


### Framework versions

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