---
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: 0.6505

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9209        | 0.11  | 20   | 0.8467          |
| 0.767         | 0.22  | 40   | 0.7407          |
| 0.725         | 0.33  | 60   | 0.7076          |
| 0.689         | 0.44  | 80   | 0.6931          |
| 0.7331        | 0.55  | 100  | 0.6865          |
| 0.6744        | 0.66  | 120  | 0.6761          |
| 0.7059        | 0.77  | 140  | 0.6671          |
| 0.6711        | 0.87  | 160  | 0.6692          |
| 0.6975        | 0.98  | 180  | 0.6604          |
| 0.6039        | 1.09  | 200  | 0.6641          |
| 0.6087        | 1.2   | 220  | 0.6574          |
| 0.6164        | 1.31  | 240  | 0.6583          |
| 0.6132        | 1.42  | 260  | 0.6604          |
| 0.6136        | 1.53  | 280  | 0.6580          |
| 0.6485        | 1.64  | 300  | 0.6571          |
| 0.6205        | 1.75  | 320  | 0.6560          |
| 0.5973        | 1.86  | 340  | 0.6514          |
| 0.6048        | 1.97  | 360  | 0.6505          |


### Framework versions

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