---
# @see https://github.com/huggingface/hub-docs/blob/main/modelcard.md
# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#update-metadata
# @see https://huggingface.co/docs/hub/model-cards#model-card-metadata

version: '0.2'

timestamp: '20250314_233618380_UTC'

model_name: retrain-pipelines Function Caller

base_model: unsloth/Qwen2.5-1.5B
base_model_relation: adapter
library_name: transformers
datasets:
- retrain-pipelines/func_calls_ds

license: apache-2.0

language:
- en

task_categories:
- text2text-generation

tags:
- retrain-pipelines
- function-calling
- LLM Agent
- code
- unsloth

thumbnail: https://cdn-avatars.huggingface.co/v1/production/uploads/651e93137b2a2e027f9e55df/96hzBved0YMjCq--s0kad.png


# @see https://huggingface.co/docs/hub/models-widgets#enabling-a-widget
# @see https://huggingface.co/docs/hub/models-widgets-examples
# @see https://huggingface.co/docs/hub/en/model-cards#specifying-a-task--pipelinetag-
pipeline_tag: text2text-generation
widget:
  - text: >-
      Hello
    example_title: No function call
    output:
      text: '[]'
  - text: >-
      Is 49 a perfect square?
    example_title: Perfect square
    output:
      text: '[{"name": "is_perfect_square", "arguments": {"num": 49}}]'

mf_run_id: '52'

# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#include-evaluation-results
# @see https://huggingface.co/docs/huggingface_hub/main/en/package_reference/cards#huggingface_hub.EvalResult
model-index:
- name: retrain-pipelines Function Caller
  results:
  - task:
      type: text2text-generation
      name: Text2Text Generation
    dataset:
      name: retrain-pipelines Function Calling
      type: retrain-pipelines/func_calls_ds
      split: validation
      revision: 1cc630a1eeeb43d33aad91d4ad48c1c76e64bab3
    metrics:
      - type: precision
        value: 0.7446632385253906
      - type: recall
        value: 0.7445322275161743
      - type: f1
        value: 0.7443609833717346
      - type: jaccard
        value: 0.7250922918319702

---

# retrain-pipelines Function Caller

`version 0.2`  -  `2025-03-14 23:36:18 UTC`
(retraining
<a target="_blank"
   href="https://huggingface.co/retrain-pipelines/function_caller_lora/tree/retrain-pipelines_source-code/v0.2_20250314_233618380_UTC">source-code</a> |
<a target="_blank"
   href="https://huggingface.co/spaces/retrain-pipelines/online_pipeline_card_renderer/?model_repo_id=retrain-pipelines/function_caller_lora&version_id=v0.2_20250314_233618380_UTC">pipeline-card</a>)

Training dataset&nbsp;:
- <code>retrain-pipelines/func_calls_ds v0.5</code>
(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/1cc630a1eeeb43d33aad91d4ad48c1c76e64bab3/README.md"
    target="_blank">1cc630a</a> -
    2025-03-14 16:17:27 UTC)

Base model&nbsp;:
- <code>unsloth/Qwen2.5-1.5B</code>
(<a href="https://huggingface.co/unsloth/Qwen2.5-1.5B/blob/2d0a015faee2c1af360a6725a30c4d7a258ac4d4/README.md"
    target="_blank">2d0a015</a> -
    2025-02-06 02:32:14 UTC)<br />
arxiv&nbsp;:<br />
  - <code><a href="https://huggingface.co/papers/2407.10671"
             target="_blank">2407.10671</a></code><br />
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<hr />
Powered by
<code><a target="_blank"
         href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines
      0.1.1</a></code> - 
<code>Run by <a target="_blank" href="https://huggingface.co/Aurelien-Morgan-Bot">Aurelien-Morgan-Bot</a></code> -
<em><b>UnslothFuncCallFlow</b></em> - mf_run_id&nbsp;: <code>52</code>