---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-70B-Instruct
datasets:
- generator
model-index:
- name: Llama2-70b-Instruct-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Llama2-70b-Instruct-finetuned

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6518

## 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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4651        | 0.0305 | 10   | 1.4614          |
| 1.2857        | 0.0610 | 20   | 1.3825          |
| 1.3614        | 0.0915 | 30   | 1.3106          |
| 1.1613        | 0.1220 | 40   | 1.2354          |
| 1.1483        | 0.1524 | 50   | 1.1536          |
| 1.1123        | 0.1829 | 60   | 1.0586          |
| 1.0873        | 0.2134 | 70   | 0.9631          |
| 0.8711        | 0.2439 | 80   | 0.8951          |
| 0.8709        | 0.2744 | 90   | 0.8485          |
| 0.8406        | 0.3049 | 100  | 0.8152          |
| 0.8181        | 0.3354 | 110  | 0.7901          |
| 0.8111        | 0.3659 | 120  | 0.7741          |
| 0.7284        | 0.3963 | 130  | 0.7599          |
| 0.7409        | 0.4268 | 140  | 0.7474          |
| 0.6901        | 0.4573 | 150  | 0.7374          |
| 0.6622        | 0.4878 | 160  | 0.7287          |
| 0.6912        | 0.5183 | 170  | 0.7212          |
| 0.7425        | 0.5488 | 180  | 0.7156          |
| 0.7135        | 0.5793 | 190  | 0.7095          |
| 0.7233        | 0.6098 | 200  | 0.7040          |
| 0.7314        | 0.6402 | 210  | 0.6985          |
| 0.659         | 0.6707 | 220  | 0.6916          |
| 0.6884        | 0.7012 | 230  | 0.6870          |
| 0.6891        | 0.7317 | 240  | 0.6845          |
| 0.6736        | 0.7622 | 250  | 0.6813          |
| 0.6487        | 0.7927 | 260  | 0.6784          |
| 0.5908        | 0.8232 | 270  | 0.6755          |
| 0.6864        | 0.8537 | 280  | 0.6728          |
| 0.6581        | 0.8841 | 290  | 0.6688          |
| 0.6816        | 0.9146 | 300  | 0.6667          |
| 0.6503        | 0.9451 | 310  | 0.6648          |
| 0.6625        | 0.9756 | 320  | 0.6626          |
| 0.6392        | 1.0061 | 330  | 0.6616          |
| 0.6319        | 1.0366 | 340  | 0.6613          |
| 0.6228        | 1.0671 | 350  | 0.6613          |
| 0.5918        | 1.0976 | 360  | 0.6606          |
| 0.6028        | 1.1280 | 370  | 0.6589          |
| 0.6563        | 1.1585 | 380  | 0.6569          |
| 0.6154        | 1.1890 | 390  | 0.6556          |
| 0.5797        | 1.2195 | 400  | 0.6545          |
| 0.6137        | 1.25   | 410  | 0.6538          |
| 0.6174        | 1.2805 | 420  | 0.6533          |
| 0.5981        | 1.3110 | 430  | 0.6528          |
| 0.5793        | 1.3415 | 440  | 0.6526          |
| 0.5626        | 1.3720 | 450  | 0.6523          |
| 0.5864        | 1.4024 | 460  | 0.6520          |
| 0.5874        | 1.4329 | 470  | 0.6519          |
| 0.6221        | 1.4634 | 480  | 0.6518          |
| 0.5727        | 1.4939 | 490  | 0.6517          |
| 0.5776        | 1.5244 | 500  | 0.6518          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1