---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: model_output
  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)
# model_output

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6558

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8594        | 0.11  | 20   | 0.8079          |
| 0.7572        | 0.22  | 40   | 0.7334          |
| 0.7202        | 0.33  | 60   | 0.7059          |
| 0.6849        | 0.44  | 80   | 0.6899          |
| 0.7245        | 0.55  | 100  | 0.6865          |
| 0.6738        | 0.66  | 120  | 0.6752          |
| 0.703         | 0.77  | 140  | 0.6705          |
| 0.6725        | 0.87  | 160  | 0.6702          |
| 0.6976        | 0.98  | 180  | 0.6617          |
| 0.6018        | 1.09  | 200  | 0.6663          |
| 0.6093        | 1.2   | 220  | 0.6593          |
| 0.6167        | 1.31  | 240  | 0.6611          |
| 0.6128        | 1.42  | 260  | 0.6611          |
| 0.6098        | 1.53  | 280  | 0.6590          |
| 0.6463        | 1.64  | 300  | 0.6568          |
| 0.6174        | 1.75  | 320  | 0.6534          |
| 0.5943        | 1.86  | 340  | 0.6519          |
| 0.602         | 1.97  | 360  | 0.6516          |
| 0.5815        | 2.08  | 380  | 0.6540          |
| 0.5496        | 2.19  | 400  | 0.6576          |
| 0.5597        | 2.3   | 420  | 0.6609          |
| 0.5433        | 2.4   | 440  | 0.6691          |
| 0.5498        | 2.51  | 460  | 0.6742          |
| 0.5418        | 2.62  | 480  | 0.6684          |
| 0.5337        | 2.73  | 500  | 0.6672          |
| 0.5045        | 2.84  | 520  | 0.6553          |
| 0.5659        | 2.95  | 540  | 0.6558          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0