---
license: apache-2.0
base_model: openlm-research/open_llama_3b_v2
tags:
- generated_from_trainer
model-index:
- name: qlora-out
  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)
# qlora-out

This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9901

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.419         | 0.0   | 1    | 1.6021          |
| 1.1683        | 0.05  | 282  | 1.1232          |
| 1.0823        | 0.1   | 564  | 1.0956          |
| 0.9881        | 0.15  | 846  | 1.0733          |
| 0.5434        | 0.2   | 1128 | 1.0653          |
| 1.0669        | 0.25  | 1410 | 1.0520          |
| 1.2484        | 0.3   | 1692 | 1.0401          |
| 1.3012        | 0.35  | 1974 | 1.0445          |
| 1.2746        | 0.4   | 2256 | 1.0243          |
| 1.2341        | 0.45  | 2538 | 1.0230          |
| 1.0461        | 0.5   | 2820 | 1.0148          |
| 1.0813        | 0.55  | 3102 | 1.0070          |
| 1.1375        | 0.6   | 3384 | 1.0061          |
| 1.0052        | 0.65  | 3666 | 1.0007          |
| 1.171         | 0.7   | 3948 | 0.9966          |
| 1.0764        | 0.75  | 4230 | 0.9948          |
| 1.146         | 0.8   | 4512 | 0.9924          |
| 1.2213        | 0.85  | 4794 | 0.9918          |
| 1.1138        | 0.9   | 5076 | 0.9907          |
| 1.0635        | 0.95  | 5358 | 0.9901          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1