---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA7H
  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. -->

# G0514HMA7H

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: -17.7415

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0338        | 0.09  | 10   | 0.3604          |
| -0.372        | 0.18  | 20   | -1.5506         |
| -2.7334       | 0.27  | 30   | -4.3453         |
| -5.5531       | 0.36  | 40   | -7.2099         |
| -8.3571       | 0.45  | 50   | -9.9832         |
| -11.0034      | 0.54  | 60   | -12.4742        |
| -13.3507      | 0.63  | 70   | -14.4048        |
| -15.0045      | 0.73  | 80   | -15.7395        |
| -16.1247      | 0.82  | 90   | -16.6047        |
| -16.8322      | 0.91  | 100  | -17.0754        |
| -17.1905      | 1.0   | 110  | -17.3142        |
| -17.3786      | 1.09  | 120  | -17.4479        |
| -17.4861      | 1.18  | 130  | -17.5251        |
| -17.5408      | 1.27  | 140  | -17.5761        |
| -17.5877      | 1.36  | 150  | -17.6039        |
| -17.6148      | 1.45  | 160  | -17.6306        |
| -17.6334      | 1.54  | 170  | -17.6459        |
| -17.6562      | 1.63  | 180  | -17.6606        |
| -17.6709      | 1.72  | 190  | -17.6791        |
| -17.6849      | 1.81  | 200  | -17.6912        |
| -17.6955      | 1.9   | 210  | -17.7036        |
| -17.7055      | 1.99  | 220  | -17.7137        |
| -17.7159      | 2.08  | 230  | -17.7203        |
| -17.7265      | 2.18  | 240  | -17.7251        |
| -17.7262      | 2.27  | 250  | -17.7294        |
| -17.7319      | 2.36  | 260  | -17.7344        |
| -17.7389      | 2.45  | 270  | -17.7360        |
| -17.7395      | 2.54  | 280  | -17.7393        |
| -17.7427      | 2.63  | 290  | -17.7389        |
| -17.7449      | 2.72  | 300  | -17.7409        |
| -17.7413      | 2.81  | 310  | -17.7415        |
| -17.7452      | 2.9   | 320  | -17.7415        |
| -17.7458      | 2.99  | 330  | -17.7415        |


### Framework versions

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