---
tags:
- generated_from_trainer
model-index:
- name: lora-out5
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# lora-out5

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1214

## 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: 2.5e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 10
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8362        | 0.03  | 1    | 1.7488          |
| 2.035         | 2.46  | 80   | 1.6462          |
| 1.5489        | 4.92  | 160  | 1.4901          |
| 1.4392        | 7.38  | 240  | 1.3567          |
| 1.2196        | 9.85  | 320  | 1.2475          |
| 1.3219        | 12.31 | 400  | 1.2089          |
| 1.2171        | 14.77 | 480  | 1.1870          |
| 1.1686        | 17.23 | 560  | 1.1730          |
| 1.1506        | 19.69 | 640  | 1.1615          |
| 1.1829        | 22.15 | 720  | 1.1513          |
| 1.267         | 24.62 | 800  | 1.1454          |
| 1.0857        | 27.08 | 880  | 1.1367          |
| 1.0795        | 29.54 | 960  | 1.1345          |
| 1.0453        | 32.0  | 1040 | 1.1317          |
| 1.2093        | 34.46 | 1120 | 1.1283          |
| 1.1442        | 36.92 | 1200 | 1.1253          |
| 0.966         | 39.38 | 1280 | 1.1239          |
| 0.9576        | 41.85 | 1360 | 1.1227          |
| 1.0146        | 44.31 | 1440 | 1.1222          |
| 1.0243        | 46.77 | 1520 | 1.1213          |
| 1.0192        | 49.23 | 1600 | 1.1214          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0