Update metrics from MLflow run a86060a1 (#3)

- Update metrics from MLflow run a86060a1 (820b6b826ddc16ef381cf0d08c40b4609956e149)


Co-authored-by: Nelson Adagi <[email protected]>

README.md

@@ -500,4 +500,35 @@ Apache 2.0
 
 **Contact**: For questions about this model or collaboration opportunities in AI for social good, please reach out through the repository issues or contact the development team.
 
-**Making Technology Work for Those Who Need It Most**
+**Making Technology Work for Those Who Need It Most**
+
+
+## Performance Metrics
+
+### Evaluation Results
+| Metric | Value |
+|--------|-------|
+| Closing Accuracy | 0.8889 |
+| Closing F1 Score | 0.8889 |
+| Closing Precision | 0.8889 |
+| Closing Recall | 0.8889 |
+| Hold Accuracy | 0.8333 |
+| Hold F1 Score | 0.0000 |
+| Hold Precision | 0.0000 |
+| Hold Recall | 0.0000 |
+| Listening Accuracy | 0.2778 |
+| Listening F1 Score | 0.8033 |
+| Listening Precision | 0.7101 |
+| Listening Recall | 0.9245 |
+| Opening Accuracy | 0.9444 |
+| Opening F1 Score | 0.9444 |
+| Opening Precision | 0.9444 |
+| Opening Recall | 0.9444 |
+| Proactiveness Accuracy | 0.6667 |
+| Proactiveness F1 Score | 0.8000 |
+| Proactiveness Precision | 0.6957 |
+| Proactiveness Recall | 0.9412 |
+| Resolution Accuracy | 0.1667 |
+| Resolution F1 Score | 0.8000 |
+| Resolution Precision | 0.7213 |
+| Resolution Recall | 0.8980 |

logs/run_20251001_163204/1759325524.7971997/events.out.tfevents.1759325524.bitz-B760M-DS3H.2405322.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71b10ba5d3fa6268b8ae404600941d8666443b90dc30b7a4995c847925bdb9a6
+size 2452

logs/run_20251001_163204/events.out.tfevents.1759325524.bitz-B760M-DS3H.2405322.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20fb82dfe3f9eb64458e611c2057d469164516f1e02373aa6064ee621ddde369
+size 1554

metadata.json

@@ -0,0 +1,59 @@
+{
+  "mlflow": {
+    "run_info": {
+      "run_id": "a86060a18b304d8b87f5606c94584ff2",
+      "experiment_id": "12",
+      "experiment_name": "QA_Multihead_Clasification_Model",
+      "start_time": "2025-07-14 12:27:30",
+      "end_time": "2025-07-14 12:27:35",
+      "status": "FINISHED",
+      "artifact_uri": "/opt/chl_ai/mlflow-shared/artifacts/12/a86060a18b304d8b87f5606c94584ff2/artifacts"
+    },
+    "metrics": {
+      "opening_accuracy": 0.9444444444444444,
+      "opening_precision": 0.9444444444444444,
+      "opening_recall": 0.9444444444444444,
+      "opening_f1_score": 0.9444444444444444,
+      "listening_accuracy": 0.2777777777777778,
+      "listening_precision": 0.7101449275362319,
+      "listening_recall": 0.9245283018867925,
+      "listening_f1_score": 0.8032786885245902,
+      "proactiveness_accuracy": 0.6666666666666666,
+      "proactiveness_precision": 0.6956521739130435,
+      "proactiveness_recall": 0.9411764705882353,
+      "proactiveness_f1_score": 0.8,
+      "resolution_accuracy": 0.16666666666666666,
+      "resolution_precision": 0.7213114754098361,
+      "resolution_recall": 0.8979591836734694,
+      "resolution_f1_score": 0.8,
+      "hold_accuracy": 0.8333333333333334,
+      "hold_precision": 0.0,
+      "hold_recall": 0.0,
+      "hold_f1_score": 0.0,
+      "closing_accuracy": 0.8888888888888888,
+      "closing_precision": 0.8888888888888888,
+      "closing_recall": 0.8888888888888888,
+      "closing_f1_score": 0.8888888888888888
+    },
+    "params": {
+      "num_epochs": "2",
+      "learning_rate": "2e-05",
+      "batch_size": "2",
+      "max_length": "512",
+      "qa_heads_config": "{'opening': 1, 'listening': 5, 'proactiveness': 3, 'resolution': 5, 'hold': 2, 'closing': 1}"
+    },
+    "tags": {
+      "mlflow.user": "rogendo",
+      "mlflow.source.name": "/home/rogendo/.virtualenvs/mcreativity/lib/python3.12/site-packages/ipykernel_launcher.py",
+      "mlflow.source.type": "LOCAL",
+      "mlflow.runName": "Trained MultiHead QA Model"
+    }
+  },
+  "user": {},
+  "export": {
+    "method": "unknown",
+    "timestamp": "2025-10-01T16:32:06.634315",
+    "version": "1",
+    "mode": "metrics_only"
+  }
+}