---
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16
  results: []
---

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# Llama-2-13b-hf-ds_eli5_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: 2.1196

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0837        | 0.1   | 33   | 2.1338          |
| 2.0369        | 0.2   | 66   | 2.1293          |
| 2.0893        | 0.31  | 99   | 2.1324          |
| 2.0821        | 0.41  | 132  | 2.1231          |
| 2.0298        | 0.51  | 165  | 2.1225          |
| 2.0817        | 0.61  | 198  | 2.1231          |
| 2.0617        | 0.72  | 231  | 2.1205          |
| 2.0323        | 0.82  | 264  | 2.1206          |
| 2.0552        | 0.92  | 297  | 2.1196          |


### Framework versions

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