---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: llama3.2-1B-Function-calling
  results: []
datasets:
- Salesforce/xlam-function-calling-60k
language:
- en
base_model:
- meta-llama/Llama-3.2-1B
---

<!-- 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. -->

# llama3.2-1B-Function-calling

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1491

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3083        | 0.9997 | 1687 | 0.3622          |
| 0.202         | 2.0    | 3375 | 0.2844          |
| 0.1655        | 2.9997 | 5061 | 0.1491          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0