v0.22 - 2025-04-02 01:24:14 UTC - retrain-pipelines v0.1.1 - Upload model and tokenizer with README.

README.md

@@ -3,9 +3,9 @@
 # @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'
+version: '0.22'
 
-timestamp: '20250314_233618380_UTC'
+timestamp: '20250402_012414955_UTC'
 
 model_name: retrain-pipelines Function Caller
 
@@ -49,7 +49,7 @@ widget:
     output:
       text: '[{"name": "is_perfect_square", "arguments": {"num": 49}}]'
 
-mf_run_id: '52'
+mf_run_id: '92'
 
 # @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
@@ -63,52 +63,118 @@ model-index:
       name: retrain-pipelines Function Calling
       type: retrain-pipelines/func_calls_ds
       split: validation
-      revision: 1cc630a1eeeb43d33aad91d4ad48c1c76e64bab3
+      revision: 8d4dacf6095dc0ef2702d58dfeaa36b730dece00
     metrics:
       - type: precision
-        value: 0.7446632385253906
+        value: 0.7514837980270386
       - type: recall
-        value: 0.7445322275161743
+        value: 0.7512756586074829
       - type: f1
-        value: 0.7443609833717346
+        value: 0.7511526346206665
       - type: jaccard
-        value: 0.7250922918319702
+        value: 0.7329407334327698
 
 ---
 
-# 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>)
+<div 
+  class="
+    p-6 mb-4 rounded-lg 
+    pt-6 sm:pt-9
+    bg-gradient-to-b
+    from-purple-500 
+    dark:from-purple-500/20
+  "
+>
+  <div 
+    class="
+      pl-4 rounded-lg 
+      border-2 border-gray-100 
+      bg-gradient-to-b
+      from-purple-500 
+      dark:from-purple-500/20
+    "
+  >
+    <b>retrain-pipelines Function Caller</b>
+</div>
+  <code>version 0.22</code>  -  <code>2025-04-02 01:24:14 UTC</code>
+  (retraining
+  <a target="_blank"
+     href="https://huggingface.co/retrain-pipelines/function_caller_lora/tree/retrain-pipelines_source-code/v0.22_20250402_012414955_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=v0.22_20250402_012414955_UTC">pipeline-card</a>)
+</div>
 
 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)
+- <code>retrain-pipelines/func_calls_ds v0.20</code>
+(<a href="https://huggingface.co/datasets/retrain-pipelines/func_calls_ds/blob/8d4dacf6095dc0ef2702d58dfeaa36b730dece00/README.md"
+    target="_blank">8d4dacf</a> -
+    2025-04-01 18:12:25 UTC)
+    <br />
+    <img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&amp;query=%24.downloads&amp;logo=huggingface&amp;label=downloads"  class="inline-block" />&nbsp;<img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fdatasets%2Fretrain-pipelines/func_calls_ds&amp;query=%24.likes&amp;logo=huggingface&amp;label=likes"  class="inline-block" />
 
 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 />
+    2025-02-06 02:32:14 UTC)
+    <br />
+    <img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2Funsloth/Qwen2.5-1.5B&amp;query=%24.downloads&amp;logo=huggingface&amp;label=downloads"  class="inline-block" />&nbsp;<img alt="" src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2Funsloth/Qwen2.5-1.5B&amp;query=%24.likes&amp;logo=huggingface&amp;label=likes"  class="inline-block" /><br />
 arxiv&nbsp;:<br />
   - <code><a href="https://huggingface.co/papers/2407.10671"
              target="_blank">2407.10671</a></code><br />
+The herein LoRa adapter can for instance be used as follows&nbsp;:<br />
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from torch import device, cuda
+
+repo_id = "retrain-pipelines/function_caller_lora"
+revision = "<model_revision_commit_hash>"
+model = AutoModelForCausalLM.from_pretrained(
+    repo_id, revision=revision, torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(
+    repo_id, revision=revision, torch_dtype="auto", device_map="auto")
+
+device = device("cuda" if cuda.is_available() else "cpu")
+def generate_tool_calls_list(query, max_new_tokens=400) -> str:
+    formatted_query = tokenizer.chat_template.format(query, "")
+    inputs = tokenizer(formatted_query, return_tensors="pt").input_ids.to(device)
+    outputs = model.generate(inputs, max_new_tokens=max_new_tokens, do_sample=False)
+    generated_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
+    return generated_text[len(formatted_query):].strip()
+
+generate_tool_calls_list("Is 49 a perfect square ?")
+```
+
 <br />
 <br />
-<br />
-<br />
-<br />
 
-<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>
+<div 
+  class="
+    p-6 mb-4 rounded-lg 
+    pt-6 sm:pt-9
+    px-4
+    pb-1 
+    bg-gradient-to-t
+    from-purple-500 
+    dark:from-purple-500/20
+  "
+>
+  <div 
+    class="
+      p-6 mb-4 rounded-lg 
+      border-2 border-gray-100 
+      pt-6 sm:pt-9
+      bg-gradient-to-t
+      from-purple-500 
+      dark:from-purple-500/20
+    "
+  >
+    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>92</code>
+  </div>
+</div>
+

adapter_config.json

@@ -26,12 +26,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "gate_proj",
     "up_proj",
     "v_proj",
-    "gate_proj",
     "q_proj",
-    "down_proj",
     "k_proj",
+    "down_proj",
     "o_proj"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

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 size 2457916480

runs/cpt/{events.out.tfevents.1741969186.2d70a17da09c.4767.0 → events.out.tfevents.1743531404.6cdc632317b8.7103.0}

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runs/sft/{events.out.tfevents.1741970569.2d70a17da09c.11273.0 → events.out.tfevents.1743532821.6cdc632317b8.13713.0}

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