---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- GAIR/lima
model-index:
- name: llama2-lima
  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. -->

# llama2-lima

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 GAIR/lima dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5297

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9786        | 1.0   | 6    | 2.6180          |
| 1.75          | 2.0   | 12   | 1.9988          |
| 1.5489        | 3.0   | 18   | 1.9909          |
| 1.3631        | 4.0   | 24   | 1.9766          |
| 1.0134        | 5.0   | 30   | 2.1003          |
| 0.8425        | 6.0   | 36   | 2.1683          |
| 0.7051        | 7.0   | 42   | 2.3737          |
| 0.594         | 8.0   | 48   | 2.5296          |
| 0.5107        | 9.0   | 54   | 2.5203          |
| 0.4594        | 10.0  | 60   | 2.5297          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2