---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
- LLAMA2
- SAMSUM
- XSUM
- SUMMARISATION
- DIALOG
datasets:
- samsum
model-index:
- name: llama-output
  results: []
---

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# llama-output

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the samsum dataset.


## Model description

The model is a fine-tuned version of Llama-2-7b-chat-hf using int8 quantization and LoRA. By using this configuration, approximately 6% of parameters are trainable.

## Intended uses & limitations

It is intended to improve the summarisation capacities of Llama 2 7B on dialogs, expecting to produce a concise brief.
As it is trained on the dataset SamSum, the terms of use are limited to those of the non-commercial licence: CC BY-NC-ND 4.0

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3