---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- unsloth
- generated_from_trainer
model-index:
- name: lora_final
  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. -->

# lora_final

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2365

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 0.3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3759        | 0.0065 | 1    | 1.3988          |
| 1.4834        | 0.0130 | 2    | 1.3942          |
| 1.255         | 0.0194 | 3    | 1.3840          |
| 1.2544        | 0.0259 | 4    | 1.3690          |
| 1.4768        | 0.0324 | 5    | 1.3500          |
| 1.293         | 0.0389 | 6    | 1.3319          |
| 1.2655        | 0.0453 | 7    | 1.3147          |
| 1.3413        | 0.0518 | 8    | 1.3033          |
| 1.2213        | 0.0583 | 9    | 1.2943          |
| 1.2445        | 0.0648 | 10   | 1.2885          |
| 1.2504        | 0.0713 | 11   | 1.2847          |
| 1.2629        | 0.0777 | 12   | 1.2826          |
| 1.3952        | 0.0842 | 13   | 1.2806          |
| 1.2751        | 0.0907 | 14   | 1.2773          |
| 1.283         | 0.0972 | 15   | 1.2744          |
| 1.2798        | 0.1036 | 16   | 1.2706          |
| 1.2756        | 0.1101 | 17   | 1.2669          |
| 1.1372        | 0.1166 | 18   | 1.2634          |
| 1.2445        | 0.1231 | 19   | 1.2600          |
| 1.3368        | 0.1296 | 20   | 1.2566          |
| 1.3386        | 0.1360 | 21   | 1.2534          |
| 1.1837        | 0.1425 | 22   | 1.2503          |
| 1.2373        | 0.1490 | 23   | 1.2482          |
| 1.1467        | 0.1555 | 24   | 1.2463          |
| 1.1782        | 0.1619 | 25   | 1.2447          |
| 1.1786        | 0.1684 | 26   | 1.2437          |
| 1.2298        | 0.1749 | 27   | 1.2430          |
| 1.2577        | 0.1814 | 28   | 1.2424          |
| 1.2813        | 0.1879 | 29   | 1.2415          |
| 1.2026        | 0.1943 | 30   | 1.2409          |
| 1.283         | 0.2008 | 31   | 1.2403          |
| 1.1598        | 0.2073 | 32   | 1.2396          |
| 1.2361        | 0.2138 | 33   | 1.2389          |
| 1.2846        | 0.2202 | 34   | 1.2386          |
| 1.3396        | 0.2267 | 35   | 1.2380          |
| 1.1525        | 0.2332 | 36   | 1.2377          |
| 1.1395        | 0.2397 | 37   | 1.2373          |
| 1.1794        | 0.2462 | 38   | 1.2370          |
| 1.332         | 0.2526 | 39   | 1.2369          |
| 1.2646        | 0.2591 | 40   | 1.2368          |
| 1.3159        | 0.2656 | 41   | 1.2367          |
| 1.1981        | 0.2721 | 42   | 1.2365          |
| 1.3205        | 0.2785 | 43   | 1.2365          |
| 1.1876        | 0.2850 | 44   | 1.2366          |
| 1.3331        | 0.2915 | 45   | 1.2365          |
| 1.1288        | 0.2980 | 46   | 1.2366          |
| 1.1745        | 0.3045 | 47   | 1.2366          |
| 1.1716        | 0.3109 | 48   | 1.2366          |
| 1.2834        | 0.3174 | 49   | 1.2365          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1