---
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
metrics:
- rouge
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: meta-llama/Llama-2-7b-hf
  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. -->

# meta-llama/Llama-2-7b-hf

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: 0.2159
- Rouge1: 0.8791
- Rouge2: 0.7599
- Rougel: 0.8661

## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
| 0.2548        | 0.9990 | 513  | 0.2430          | 0.8707 | 0.7454 | 0.8577 |
| 0.2351        | 2.0    | 1027 | 0.2333          | 0.8717 | 0.7503 | 0.8613 |
| 0.2108        | 2.9990 | 1540 | 0.2205          | 0.8745 | 0.7543 | 0.8634 |
| 0.1954        | 4.0    | 2054 | 0.2159          | 0.8791 | 0.7599 | 0.8661 |
| 0.1998        | 4.9951 | 2565 | 0.2147          | 0.8822 | 0.7606 | 0.8661 |


### Framework versions

- PEFT 0.13.1
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0