---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA22H
  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. -->

# G0514HMA22H

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: -17.8940

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8474        | 0.09  | 10   | -0.1051         |
| -1.133        | 0.18  | 20   | -2.6746         |
| -4.0726       | 0.27  | 30   | -5.9791         |
| -7.4096       | 0.36  | 40   | -9.2948         |
| -10.5075      | 0.45  | 50   | -12.1604        |
| -13.1872      | 0.54  | 60   | -14.5712        |
| -15.3198      | 0.63  | 70   | -16.1577        |
| -16.5601      | 0.73  | 80   | -17.0062        |
| -17.1749      | 0.82  | 90   | -17.3669        |
| -17.4459      | 0.91  | 100  | -17.5280        |
| -17.5636      | 1.0   | 110  | -17.6099        |
| -17.6344      | 1.09  | 120  | -17.6593        |
| -17.6708      | 1.18  | 130  | -17.6865        |
| -17.6958      | 1.27  | 140  | -17.7099        |
| -17.7175      | 1.36  | 150  | -17.7283        |
| -17.7369      | 1.45  | 160  | -17.7437        |
| -17.7549      | 1.54  | 170  | -17.7646        |
| -17.7752      | 1.63  | 180  | -17.7824        |
| -17.785       | 1.72  | 190  | -17.7920        |
| -17.8012      | 1.81  | 200  | -17.8080        |
| -17.8109      | 1.9   | 210  | -17.8184        |
| -17.8264      | 1.99  | 220  | -17.8386        |
| -17.85        | 2.08  | 230  | -17.8633        |
| -17.8652      | 2.18  | 240  | -17.8736        |
| -17.8735      | 2.27  | 250  | -17.8818        |
| -17.8791      | 2.36  | 260  | -17.8860        |
| -17.8821      | 2.45  | 270  | -17.8882        |
| -17.8883      | 2.54  | 280  | -17.8912        |
| -17.891       | 2.63  | 290  | -17.8924        |
| -17.8909      | 2.72  | 300  | -17.8933        |
| -17.8886      | 2.81  | 310  | -17.8938        |
| -17.8926      | 2.9   | 320  | -17.8939        |
| -17.8924      | 2.99  | 330  | -17.8940        |


### Framework versions

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