---
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-13b-hf-ds_wiki_1024_full_r_64_alpha_16
  results: []
---

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# Llama-2-13b-hf-ds_wiki_1024_full_r_64_alpha_16

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1614

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2264        | 0.1   | 51   | 1.1930          |
| 1.2074        | 0.2   | 102  | 1.1818          |
| 1.1872        | 0.3   | 153  | 1.1759          |
| 1.2033        | 0.4   | 204  | 1.1718          |
| 1.1837        | 0.5   | 255  | 1.1691          |
| 1.2006        | 0.6   | 306  | 1.1667          |
| 1.1817        | 0.7   | 357  | 1.1648          |
| 1.2066        | 0.8   | 408  | 1.1630          |
| 1.1766        | 0.9   | 459  | 1.1614          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3