---
base_model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
tags:
- generated_from_trainer
model-index:
- name: Meta-Llama-3-8B-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-3-8B-Instruct-function-calling-json-mode-VisitorRequests

This model is a fine-tuned version of [hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode](https://huggingface.co/hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.5946

## 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



### Framework versions

- PEFT 0.5.0
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0