---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA11H
  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. -->

# G0514HMA11H

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: -17.7793

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9907        | 0.09  | 10   | 0.2549          |
| -0.3452       | 0.18  | 20   | -1.4911         |
| -2.6745       | 0.27  | 30   | -4.3029         |
| -5.5459       | 0.36  | 40   | -7.2444         |
| -8.4583       | 0.45  | 50   | -10.1413        |
| -11.1772      | 0.54  | 60   | -12.6543        |
| -13.5601      | 0.63  | 70   | -14.6708        |
| -15.3021      | 0.73  | 80   | -16.0377        |
| -16.4202      | 0.82  | 90   | -16.8732        |
| -17.0486      | 0.91  | 100  | -17.2545        |
| -17.3372      | 1.0   | 110  | -17.4412        |
| -17.4961      | 1.09  | 120  | -17.5444        |
| -17.5738      | 1.18  | 130  | -17.6050        |
| -17.6197      | 1.27  | 140  | -17.6459        |
| -17.6553      | 1.36  | 150  | -17.6713        |
| -17.6808      | 1.45  | 160  | -17.6919        |
| -17.6964      | 1.54  | 170  | -17.7067        |
| -17.7138      | 1.63  | 180  | -17.7237        |
| -17.7268      | 1.72  | 190  | -17.7349        |
| -17.7396      | 1.81  | 200  | -17.7434        |
| -17.7455      | 1.9   | 210  | -17.7509        |
| -17.7517      | 1.99  | 220  | -17.7574        |
| -17.7593      | 2.08  | 230  | -17.7623        |
| -17.7681      | 2.18  | 240  | -17.7664        |
| -17.7669      | 2.27  | 250  | -17.7696        |
| -17.7705      | 2.36  | 260  | -17.7729        |
| -17.7774      | 2.45  | 270  | -17.7750        |
| -17.7756      | 2.54  | 280  | -17.7766        |
| -17.7797      | 2.63  | 290  | -17.7777        |
| -17.7804      | 2.72  | 300  | -17.7787        |
| -17.7775      | 2.81  | 310  | -17.7792        |
| -17.7822      | 2.9   | 320  | -17.7793        |
| -17.7813      | 2.99  | 330  | -17.7793        |


### Framework versions

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