---
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora
  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. -->

# Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora

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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6890

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.2123        | 0.0630 | 1    | 2.0355          |
| 2.031         | 0.1260 | 2    | 1.8189          |
| 1.8617        | 0.1890 | 3    | 1.2382          |
| 1.2165        | 0.2520 | 4    | 1.2213          |
| 1.2384        | 0.3150 | 5    | 1.3884          |
| 1.2876        | 0.3780 | 6    | 1.3734          |
| 1.3752        | 0.4409 | 7    | 1.0046          |
| 0.9925        | 0.5039 | 8    | 1.1719          |
| 1.1438        | 0.5669 | 9    | 0.9010          |
| 0.9124        | 0.6299 | 10   | 0.8452          |
| 0.8283        | 0.6929 | 11   | 0.7755          |
| 0.762         | 0.7559 | 12   | 0.7758          |
| 0.7601        | 0.8189 | 13   | 0.8326          |
| 0.7841        | 0.8819 | 14   | 0.7731          |
| 0.697         | 0.9449 | 15   | 0.7534          |
| 0.7392        | 1.0079 | 16   | 0.7244          |
| 0.6977        | 1.0709 | 17   | 0.7054          |
| 0.6216        | 1.1339 | 18   | 0.6978          |
| 0.9607        | 1.1969 | 19   | 0.7370          |
| 0.693         | 1.2598 | 20   | 0.8337          |
| 0.8311        | 1.3228 | 21   | 0.9197          |
| 0.8475        | 1.3858 | 22   | 0.8201          |
| 0.7663        | 1.4488 | 23   | 0.7467          |
| 0.6859        | 1.5118 | 24   | 0.7316          |
| 0.6419        | 1.5748 | 25   | 0.7193          |
| 0.6363        | 1.6378 | 26   | 0.7011          |
| 0.6569        | 1.7008 | 27   | 0.7019          |
| 0.6467        | 1.7638 | 28   | 0.6921          |
| 0.6779        | 1.8268 | 29   | 0.6918          |
| 0.6638        | 1.8898 | 30   | 0.6890          |


### Framework versions

- PEFT 0.5.0
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.16.0
- Tokenizers 0.19.1