
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 :
unsloth/Qwen2.5-1.5B
(2d0a015 - 2025-02-06 02:32:14 UTC)
arxiv :
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retrain-pipelines
0.1.1
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Run by Aurelien-Morgan-Bot
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UnslothFuncCallFlow - mf_run_id : 25