---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: out
  results: []
---

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[<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)
# out

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: 1.2048

## 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: 3.8e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3782        | 0.01  | 1    | 1.4211          |
| 1.1948        | 0.2   | 14   | 1.2273          |
| 1.0953        | 0.4   | 28   | 1.2137          |
| 1.1464        | 0.6   | 42   | 1.2099          |
| 1.1481        | 0.81  | 56   | 1.2080          |
| 1.0277        | 1.01  | 70   | 1.2022          |
| 0.9344        | 1.21  | 84   | 1.2049          |
| 1.1294        | 1.41  | 98   | 1.2033          |
| 1.0933        | 1.61  | 112  | 1.2002          |
| 0.987         | 1.81  | 126  | 1.1996          |
| 0.9491        | 2.01  | 140  | 1.1972          |
| 0.9673        | 2.22  | 154  | 1.2058          |
| 0.99          | 2.42  | 168  | 1.2048          |
| 0.9241        | 2.62  | 182  | 1.2049          |
| 0.9204        | 2.82  | 196  | 1.2048          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.14.0