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v0.1 - 2025-03-11 01:36:07 UTC - retrain-pipelines v0.1.1 - Upload model and tokenizer with README.
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metadata
version: '0.1'
timestamp: 20250311_013607311_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
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: '25'
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: 0d724ca7d347f10eab9357c180ac7b4ba30efb56
        metrics:
          - type: precision
            value: 0.5526211857795715
          - type: recall
            value: 0.5526326298713684
          - type: f1
            value: 0.5523678064346313
          - type: jaccard
            value: 0.5371795892715454

retrain-pipelines Function Caller

version 0.1 - 2025-03-11 01:36:07 UTC (retraining source-code | pipeline-card)

Training dataset :

  • retrain-pipelines/func_calls_ds v0.4 (0d724ca - 2025-03-10 20:20:59 UTC)

Base model :







Powered by retrain-pipelines 0.1.1 - Run by Aurelien-Morgan-Bot - UnslothFuncCallFlow - mf_run_id : 25