v0.23 - 2025-04-02 23:59:20 UTC - retrain-pipelines v0.1.1 - Upload model and tokenizer with README.
Browse files- README.md +16 -16
- adapter_config.json +7 -7
- adapter_model.safetensors +1 -1
- runs/cpt/{events.out.tfevents.1743531404.6cdc632317b8.7103.0 → events.out.tfevents.1743611017.f3a8d62f839d.4543.0} +1 -1
- runs/sft/{events.out.tfevents.1743532821.6cdc632317b8.13713.0 → events.out.tfevents.1743612468.f3a8d62f839d.12023.0} +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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value: 0.
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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: '0.23'
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timestamp: '20250402_235920423_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: '93'
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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: 534a35bda423df82d8a39c3915af3b0c17663160
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metrics:
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- type: precision
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value: 0.7678390741348267
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- type: recall
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value: 0.7680401802062988
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- type: f1
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value: 0.767730712890625
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- type: jaccard
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value: 0.7498630285263062
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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 0.23</code> - <code>2025-04-02 23:59:20 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/v0.23_20250402_235920423_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=v0.23_20250402_235920423_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 v0.21</code>
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(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/534a35bda423df82d8a39c3915af3b0c17663160/README.md"
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target="_blank">534a35b</a> -
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2025-04-02 16:18:25 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>93</code>
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</div>
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</div>
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adapter_config.json
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"peft_type": "LORA",
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"r": 128,
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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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"up_proj",
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"q_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"down_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"v_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.1743531404.6cdc632317b8.7103.0 → events.out.tfevents.1743611017.f3a8d62f839d.4543.0}
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runs/sft/{events.out.tfevents.1743532821.6cdc632317b8.13713.0 → events.out.tfevents.1743612468.f3a8d62f839d.12023.0}
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