---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-SFT_eli5_wiki_1024_r_64_alpha_16
  results: []
---

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# llama-7b-SFT_eli5_wiki_1024_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: 1.4181

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6675        | 0.3   | 250  | 1.4375          |
| 1.6173        | 0.6   | 500  | 1.4273          |
| 1.6354        | 0.9   | 750  | 1.4203          |
| 1.5581        | 1.2   | 1000 | 1.4196          |
| 1.5457        | 1.5   | 1250 | 1.4181          |
| 1.5163        | 1.8   | 1500 | 1.4226          |
| 1.1897        | 2.1   | 1750 | 1.4271          |
| 1.1486        | 2.4   | 2000 | 1.4261          |
| 1.1757        | 2.7   | 2250 | 1.4270          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3