---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf-wiki_r_64_alpha_16
  results: []
---

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# Llama-2-7b-hf-wiki_r_64_alpha_16

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2487

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3251        | 0.3   | 71   | 1.2680          |
| 1.19          | 0.61  | 142  | 1.2569          |
| 1.2281        | 0.91  | 213  | 1.2514          |
| 1.1363        | 1.21  | 284  | 1.2568          |
| 1.2296        | 1.51  | 355  | 1.2511          |
| 1.1319        | 1.82  | 426  | 1.2487          |
| 1.2245        | 2.12  | 497  | 1.2527          |
| 1.0558        | 2.42  | 568  | 1.2620          |
| 1.1141        | 2.73  | 639  | 1.2540          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3