---
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
  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

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: 0.7127

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.1526        | 0.0630 | 1    | 2.0335          |
| 2.0911        | 0.1260 | 2    | 1.4581          |
| 1.4849        | 0.1890 | 3    | 1.5173          |
| 1.4637        | 0.2520 | 4    | 1.4524          |
| 1.4601        | 0.3150 | 5    | 1.1220          |
| 1.126         | 0.3780 | 6    | 0.9505          |
| 0.9398        | 0.4409 | 7    | 0.9023          |
| 0.8999        | 0.5039 | 8    | 0.9739          |
| 0.9304        | 0.5669 | 9    | 0.9137          |
| 0.9523        | 0.6299 | 10   | 0.8252          |
| 0.8594        | 0.6929 | 11   | 0.8355          |
| 0.8166        | 0.7559 | 12   | 0.7858          |
| 0.7787        | 0.8189 | 13   | 0.7842          |
| 0.8018        | 0.8819 | 14   | 0.7916          |
| 0.727         | 0.9449 | 15   | 0.7430          |
| 0.7281        | 1.0079 | 16   | 0.7661          |
| 0.7854        | 1.0709 | 17   | 0.7372          |
| 0.7343        | 1.1339 | 18   | 0.7295          |
| 0.6652        | 1.1969 | 19   | 0.7325          |
| 0.6603        | 1.2598 | 20   | 0.7454          |
| 0.6652        | 1.3228 | 21   | 0.7600          |
| 0.7026        | 1.3858 | 22   | 0.7352          |
| 0.7216        | 1.4488 | 23   | 0.7302          |
| 0.7148        | 1.5118 | 24   | 0.7092          |
| 0.6603        | 1.5748 | 25   | 0.7158          |
| 0.7028        | 1.6378 | 26   | 0.7077          |
| 0.6412        | 1.7008 | 27   | 0.7090          |
| 0.6496        | 1.7638 | 28   | 0.7042          |
| 0.6938        | 1.8268 | 29   | 0.7149          |
| 0.6696        | 1.8898 | 30   | 0.7127          |


### Framework versions

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