---
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16
  results: []
---

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# Llama-2-13b-hf-eli5-wiki-1024_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: 1.3368

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2775        | 0.1   | 84   | 1.3616          |
| 1.8416        | 0.2   | 168  | 1.3548          |
| 1.5602        | 0.3   | 252  | 1.3506          |
| 1.2573        | 0.4   | 336  | 1.3446          |
| 1.4359        | 0.5   | 420  | 1.3433          |
| 1.5447        | 0.61  | 504  | 1.3420          |
| 1.2692        | 0.71  | 588  | 1.3386          |
| 1.4435        | 0.81  | 672  | 1.3374          |
| 1.5443        | 0.91  | 756  | 1.3368          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3