v0.29 - 2025-04-11 23:55:44 UTC - retrain-pipelines v0.1.1 - Upload model and tokenizer with README.
Browse files- README.md +16 -16
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- runs/cpt/{events.out.tfevents.1744217136.ecf08f2914a3.5003.0 → events.out.tfevents.1744388784.ccf7dfbd89b5.4882.0} +1 -1
- runs/sft/{events.out.tfevents.1744218532.ecf08f2914a3.10989.0 → events.out.tfevents.1744390124.ccf7dfbd89b5.10641.0} +2 -2
README.md
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# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#update-metadata
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# @see https://huggingface.co/docs/hub/model-cards#model-card-metadata
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version: '0.
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timestamp: '
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model_name: retrain-pipelines Function Caller
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output:
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text: '[{"name": "is_perfect_square", "arguments": {"num": 49}}]'
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mf_run_id: '
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# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#include-evaluation-results
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# @see https://huggingface.co/docs/huggingface_hub/main/en/package_reference/cards#huggingface_hub.EvalResult
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name: retrain-pipelines Function Calling
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type: retrain-pipelines/func_calls_ds
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split: validation
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revision:
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metrics:
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- type: precision
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value: 0.
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- type: recall
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value: 0.
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- type: f1
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- type: jaccard
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value: 0.
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---
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>
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<b>retrain-pipelines Function Caller</b>
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</div>
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<code>version 0.
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(retraining
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<a target="_blank"
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href="https://huggingface.co/retrain-pipelines/function_caller_lora/tree/retrain-pipelines_source-code/v0.
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<a target="_blank"
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href="https://huggingface.co/spaces/retrain-pipelines/online_pipeline_card_renderer/?model_repo_id=retrain-pipelines/function_caller_lora&version_id=v0.
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</div>
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Training dataset :
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- <code>retrain-pipelines/func_calls_ds v0.
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(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/
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target="_blank">
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2025-04-
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<br />
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<img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&query=%24.downloads&logo=huggingface&label=downloads" class="inline-block" /> <img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&query=%24.likes&logo=huggingface&label=likes" class="inline-block" />
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href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines
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0.1.1</a></code> -
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<code>Run by <a target="_blank" href="https://huggingface.co/Aurelien-Morgan-Bot">Aurelien-Morgan-Bot</a></code> -
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<em><b>UnslothFuncCallFlow</b></em> - mf_run_id : <code>
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</div>
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</div>
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# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#update-metadata
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# @see https://huggingface.co/docs/hub/model-cards#model-card-metadata
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version: '0.29'
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timestamp: '20250411_235544461_UTC'
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model_name: retrain-pipelines Function Caller
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output:
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text: '[{"name": "is_perfect_square", "arguments": {"num": 49}}]'
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mf_run_id: '101'
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# @see https://huggingface.co/docs/huggingface_hub/guides/model-cards#include-evaluation-results
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# @see https://huggingface.co/docs/huggingface_hub/main/en/package_reference/cards#huggingface_hub.EvalResult
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name: retrain-pipelines Function Calling
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type: retrain-pipelines/func_calls_ds
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split: validation
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revision: fa58022553264b9c59d724f2cd42849c6ed92920
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metrics:
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- type: precision
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value: 0.7681936025619507
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- type: recall
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value: 0.767867922782898
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- type: f1
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value: 0.7676968574523926
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- type: jaccard
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value: 0.7502401471138
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---
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>
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<b>retrain-pipelines Function Caller</b>
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</div>
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<code>version 0.29</code> - <code>2025-04-11 23:55:44 UTC</code>
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(retraining
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<a target="_blank"
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href="https://huggingface.co/retrain-pipelines/function_caller_lora/tree/retrain-pipelines_source-code/v0.29_20250411_235544461_UTC">source-code</a> |
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<a target="_blank"
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href="https://huggingface.co/spaces/retrain-pipelines/online_pipeline_card_renderer/?model_repo_id=retrain-pipelines/function_caller_lora&version_id=v0.29_20250411_235544461_UTC">pipeline-card</a>)
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</div>
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Training dataset :
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- <code>retrain-pipelines/func_calls_ds v0.28</code>
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(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/fa58022553264b9c59d724f2cd42849c6ed92920/README.md"
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target="_blank">fa58022</a> -
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2025-04-11 16:23:27 UTC)
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<br />
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<img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&query=%24.downloads&logo=huggingface&label=downloads" class="inline-block" /> <img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&query=%24.likes&logo=huggingface&label=likes" class="inline-block" />
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href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines
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0.1.1</a></code> -
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<code>Run by <a target="_blank" href="https://huggingface.co/Aurelien-Morgan-Bot">Aurelien-Morgan-Bot</a></code> -
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<em><b>UnslothFuncCallFlow</b></em> - mf_run_id : <code>101</code>
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</div>
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</div>
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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runs/cpt/{events.out.tfevents.1744217136.ecf08f2914a3.5003.0 → events.out.tfevents.1744388784.ccf7dfbd89b5.4882.0}
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runs/sft/{events.out.tfevents.1744218532.ecf08f2914a3.10989.0 → events.out.tfevents.1744390124.ccf7dfbd89b5.10641.0}
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