---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
- name: alpaca_no_sys
  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. -->

# alpaca_no_sys

This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the alpaca_no_sys dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0082

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0429        | 0.07  | 200  | 1.0298          |
| 1.0505        | 0.14  | 400  | 1.0238          |
| 1.044         | 0.22  | 600  | 1.0194          |
| 1.0169        | 0.29  | 800  | 1.0172          |
| 1.02          | 0.36  | 1000 | 1.0154          |
| 0.9492        | 0.43  | 1200 | 1.0134          |
| 1.0051        | 0.51  | 1400 | 1.0117          |
| 1.0469        | 0.58  | 1600 | 1.0106          |
| 0.9994        | 0.65  | 1800 | 1.0094          |
| 1.0141        | 0.72  | 2000 | 1.0082          |
| 1.0891        | 0.8   | 2200 | 1.0073          |
| 1.0141        | 0.87  | 2400 | 1.0063          |
| 1.0002        | 0.94  | 2600 | 1.0059          |
| 0.9686        | 1.01  | 2800 | 1.0086          |
| 0.9767        | 1.09  | 3000 | 1.0141          |
| 0.9494        | 1.16  | 3200 | 1.0160          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2