---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- generated_from_trainer
model-index:
- name: MSc_llama3_finetuned_model_secondData
  results: []
library_name: peft
---

<!-- 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. -->

# MSc_llama3_finetuned_model_secondData

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5909

## 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: 0.03
- training_steps: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3698        | 1.36  | 10   | 2.0432          |
| 1.3777        | 2.71  | 20   | 1.0067          |
| 0.8126        | 4.07  | 30   | 0.7822          |
| 0.6642        | 5.42  | 40   | 0.7281          |
| 0.5708        | 6.78  | 50   | 0.7218          |
| 0.5062        | 8.14  | 60   | 0.7360          |
| 0.4379        | 9.49  | 70   | 0.7781          |
| 0.3924        | 10.85 | 80   | 0.8310          |
| 0.3435        | 12.2  | 90   | 0.8856          |
| 0.3041        | 13.56 | 100  | 1.0389          |
| 0.2787        | 14.92 | 110  | 1.0664          |
| 0.2553        | 16.27 | 120  | 1.1655          |
| 0.2388        | 17.63 | 130  | 1.2397          |
| 0.2288        | 18.98 | 140  | 1.2049          |
| 0.2128        | 20.34 | 150  | 1.2746          |
| 0.2081        | 21.69 | 160  | 1.3889          |
| 0.1998        | 23.05 | 170  | 1.3942          |
| 0.1909        | 24.41 | 180  | 1.4383          |
| 0.188         | 25.76 | 190  | 1.5012          |
| 0.1841        | 27.12 | 200  | 1.5246          |
| 0.18          | 28.47 | 210  | 1.5528          |
| 0.1794        | 29.83 | 220  | 1.5662          |
| 0.1773        | 31.19 | 230  | 1.5788          |
| 0.1751        | 32.54 | 240  | 1.5889          |
| 0.1756        | 33.9  | 250  | 1.5909          |


### Framework versions

- PEFT 0.4.0
- Transformers 4.38.2
- Pytorch 2.4.0+cu121
- Datasets 2.13.1
- Tokenizers 0.15.2