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

# linguistics_puzzles_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 linguistics_puzzles_no_sys dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5924

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 5.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1276        | 0.5263 | 100  | 1.0876          |
| 0.8128        | 1.0526 | 200  | 0.8153          |
| 0.6705        | 1.5789 | 300  | 0.6892          |
| 0.4876        | 2.1053 | 400  | 0.6225          |
| 0.4435        | 2.6316 | 500  | 0.5924          |
| 0.2743        | 3.1579 | 600  | 0.6151          |
| 0.2846        | 3.6842 | 700  | 0.6084          |
| 0.2069        | 4.2105 | 800  | 0.6427          |
| 0.172         | 4.7368 | 900  | 0.6495          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1