---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Llama-2-13b-hf
model-index:
- name: train_2024-01-03-02-43-22
  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. -->

# train_2024-01-03-02-43-22

This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the anli_train_r1_contradiction dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0611

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0228        | 0.44  | 100  | 1.0888          |
| 1.0068        | 0.88  | 200  | 1.0738          |
| 1.0218        | 1.33  | 300  | 1.0680          |
| 1.084         | 1.77  | 400  | 1.0611          |
| 0.897         | 2.21  | 500  | 1.0757          |
| 0.9597        | 2.65  | 600  | 1.0745          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0