---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA20H
  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. -->

# G0514HMA20H

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: -17.8888

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7427        | 0.09  | 10   | -0.3960         |
| -1.7071       | 0.18  | 20   | -3.6281         |
| -5.2642       | 0.27  | 30   | -7.4868         |
| -9.0314       | 0.36  | 40   | -11.0106        |
| -12.2572      | 0.45  | 50   | -13.9498        |
| -14.8718      | 0.54  | 60   | -15.9757        |
| -16.4839      | 0.63  | 70   | -16.9719        |
| -17.1594      | 0.73  | 80   | -17.3585        |
| -17.4323      | 0.82  | 90   | -17.5206        |
| -17.5617      | 0.91  | 100  | -17.6042        |
| -17.6212      | 1.0   | 110  | -17.6490        |
| -17.6671      | 1.09  | 120  | -17.6807        |
| -17.6884      | 1.18  | 130  | -17.6997        |
| -17.7069      | 1.27  | 140  | -17.7167        |
| -17.7212      | 1.36  | 150  | -17.7313        |
| -17.7366      | 1.45  | 160  | -17.7408        |
| -17.7489      | 1.54  | 170  | -17.7577        |
| -17.7679      | 1.63  | 180  | -17.7766        |
| -17.7836      | 1.72  | 190  | -17.7952        |
| -17.8096      | 1.81  | 200  | -17.8171        |
| -17.8256      | 1.9   | 210  | -17.8360        |
| -17.844       | 1.99  | 220  | -17.8501        |
| -17.8551      | 2.08  | 230  | -17.8607        |
| -17.8656      | 2.18  | 240  | -17.8707        |
| -17.8732      | 2.27  | 250  | -17.8780        |
| -17.8763      | 2.36  | 260  | -17.8821        |
| -17.8785      | 2.45  | 270  | -17.8839        |
| -17.8842      | 2.54  | 280  | -17.8864        |
| -17.8859      | 2.63  | 290  | -17.8876        |
| -17.8859      | 2.72  | 300  | -17.8882        |
| -17.8836      | 2.81  | 310  | -17.8885        |
| -17.8875      | 2.9   | 320  | -17.8888        |
| -17.8874      | 2.99  | 330  | -17.8888        |


### Framework versions

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