From e5e43b0dd3119eeeb59f9361922450f3d887ddb0 Mon Sep 17 00:00:00 2001
From: Ivan Pavlovich <ivan.pavlovic@hes-so.ch>
Date: Fri, 14 Mar 2025 05:29:25 +0100
Subject: [PATCH] =?UTF-8?q?Teste=20de=20model=20locale=20de=20Ollama=20et?=
=?UTF-8?q?=20ajout=20du=20F1=20Score=20dans=20les=20r=C3=A9sultats=20du?=
=?UTF-8?q?=20teste?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
testModel/metrics.py | 11 +-
testModel/results/deepseek_v2.json | 40653 +++++++++++++++++++++++++
testModel/results/llama3_2.json | 21234 +++++++++++++
testModel/results/mistral_small.json | 40385 ++++++++++++++++++++++++
testModel/test.py | 2 +
testModel/utils.py | 8 +-
variables/models.py | 4 +-
7 files changed, 102292 insertions(+), 5 deletions(-)
create mode 100644 testModel/results/deepseek_v2.json
create mode 100644 testModel/results/llama3_2.json
create mode 100644 testModel/results/mistral_small.json
diff --git a/testModel/metrics.py b/testModel/metrics.py
index 2415af22d..d9b79d0ef 100644
--- a/testModel/metrics.py
+++ b/testModel/metrics.py
@@ -37,4 +37,13 @@ def get_precision(confusion_matrix):
denominator = (confusion_matrix[0][0] + confusion_matrix[0][1])
if denominator == 0:
return 0
- return confusion_matrix[0][0] / denominator
\ No newline at end of file
+ return confusion_matrix[0][0] / denominator
+
+def get_f1_score(confusion_matrix):
+ precision = get_precision(confusion_matrix)
+ recall = get_tpr(confusion_matrix)
+
+ denominator = (precision + recall)
+ if denominator == 0:
+ return 0
+ return 2 * ((precision * recall) / denominator)
\ No newline at end of file
diff --git a/testModel/results/deepseek_v2.json b/testModel/results/deepseek_v2.json
new file mode 100644
index 000000000..8b8c42667
--- /dev/null
+++ b/testModel/results/deepseek_v2.json
@@ -0,0 +1,40653 @@
+{
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+}
\ No newline at end of file
diff --git a/testModel/results/llama3_2.json b/testModel/results/llama3_2.json
new file mode 100644
index 000000000..0a466fa29
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+}
\ No newline at end of file
diff --git a/testModel/results/mistral_small.json b/testModel/results/mistral_small.json
new file mode 100644
index 000000000..74053a6cd
--- /dev/null
+++ b/testModel/results/mistral_small.json
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+ ],
+ "MeshTerms": [
+ "Diabetes Mellitus, Type 2",
+ "Humans",
+ "Middle Aged",
+ "Male",
+ "Female",
+ "Hypoglycemic Agents",
+ "Glycated Hemoglobin",
+ "Aged",
+ "Remission Induction",
+ "Blood Glucose",
+ "Treatment Outcome",
+ "Glycemic Control",
+ "Glucagon-Like Peptide-2 Receptor",
+ "Gastric Inhibitory Polypeptide",
+ "Tirzepatide"
+ ],
+ "Wanted": {
+ "Non-Communicable Diseases": false,
+ "Diabetes": false,
+ "Cancer": false,
+ "Chronic respiratory disease": false,
+ "Cardiovascular diseases": false,
+ "Mental Health": false,
+ "Diabetes type 1": false,
+ "Diabetes type 2": true
+ },
+ "Predictions": {
+ "Non-Communicable Diseases": false,
+ "Diabetes": true,
+ "Cancer": false,
+ "Chronic respiratory disease": false,
+ "Cardiovascular diseases": false,
+ "Mental Health": false,
+ "Diabetes type 1": false,
+ "Diabetes type 2": true
+ },
+ "Selected Labels": [
+ "Diabetes",
+ "Diabetes type 2"
+ ],
+ "confusion matrix": [
+ [
+ 1,
+ 1
+ ],
+ [
+ 0,
+ 6
+ ]
+ ]
+ }
+ ],
+ "results": {
+ "prediction time": 463.8935217857361,
+ "ALL": {
+ "confusion matrix": [
+ [
+ 820,
+ 415
+ ],
+ [
+ 79,
+ 5086
+ ]
+ ],
+ "TPR": 0.9121245828698554,
+ "TNR": 0.9245591710598073,
+ "Precision": 0.6639676113360324
+ },
+ "SHORT": {
+ "confusion matrix": [
+ [
+ 184,
+ 94
+ ],
+ [
+ 37,
+ 1285
+ ]
+ ],
+ "TPR": 0.832579185520362,
+ "TNR": 0.9318346627991299,
+ "Precision": 0.6618705035971223
+ },
+ "MEDIUM": {
+ "confusion matrix": [
+ [
+ 199,
+ 92
+ ],
+ [
+ 19,
+ 1290
+ ]
+ ],
+ "TPR": 0.9128440366972477,
+ "TNR": 0.9334298118668596,
+ "Precision": 0.6838487972508591
+ },
+ "LONG": {
+ "confusion matrix": [
+ [
+ 221,
+ 96
+ ],
+ [
+ 11,
+ 1272
+ ]
+ ],
+ "TPR": 0.9525862068965517,
+ "TNR": 0.9298245614035088,
+ "Precision": 0.6971608832807571
+ },
+ "VERY LONG": {
+ "confusion matrix": [
+ [
+ 216,
+ 133
+ ],
+ [
+ 12,
+ 1239
+ ]
+ ],
+ "TPR": 0.9473684210526315,
+ "TNR": 0.9030612244897959,
+ "Precision": 0.6189111747851003
+ }
+ }
+}
\ No newline at end of file
diff --git a/testModel/test.py b/testModel/test.py
index 21949457d..346dad6f8 100644
--- a/testModel/test.py
+++ b/testModel/test.py
@@ -161,6 +161,7 @@ for length_category in LENGTH_CATEGORIES:
print(f"True Positive Rate (TPR): {data['results'][length_category]['TPR']}")
print(f"True Negative Rate (TNR): {data['results'][length_category]['TNR']}")
print(f"Precision: {data['results'][length_category]['Precision']}")
+ print(f"F1 Score: {data['results'][length_category]['F1']}")
print("---------------------------------")
print(f"Name: ALL")
@@ -169,4 +170,5 @@ print(f"Result confusion matrix: {data['results']['ALL']['confusion matrix']}")
print(f"True Positive Rate (TPR): {data['results']['ALL']['TPR']}")
print(f"True Negative Rate (TNR): {data['results']['ALL']['TNR']}")
print(f"Precision: {data['results']['ALL']['Precision']}")
+print(f"F1 Score: {data['results']['ALL']['F1']}")
print()
\ No newline at end of file
diff --git a/testModel/utils.py b/testModel/utils.py
index cd1f31554..18b1dbec9 100644
--- a/testModel/utils.py
+++ b/testModel/utils.py
@@ -4,7 +4,7 @@ import json
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../")))
-from testModel.metrics import get_tpr, get_tnr, get_precision
+from testModel.metrics import get_tpr, get_tnr, get_precision, get_f1_score
from variables.articles import LENGTH_CATEGORIES
def get_dataset_filename(name):
@@ -96,7 +96,8 @@ def create_results():
'confusion matrix': [[0, 0], [0, 0]],
'TPR': 0,
'TNR': 0,
- 'Precision': 0
+ 'Precision': 0,
+ 'F1': 0
}
def store_results(confusion_matrix):
@@ -104,5 +105,6 @@ def store_results(confusion_matrix):
"confusion matrix": confusion_matrix,
"TPR": get_tpr(confusion_matrix),
"TNR": get_tnr(confusion_matrix),
- "Precision": get_precision(confusion_matrix)
+ "Precision": get_precision(confusion_matrix),
+ "F1": get_f1_score(confusion_matrix)
}
\ No newline at end of file
diff --git a/variables/models.py b/variables/models.py
index 6ce268f1b..081553cfd 100644
--- a/variables/models.py
+++ b/variables/models.py
@@ -13,5 +13,7 @@ MODELS = {
'MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli': {'predict': classify, 'isHuggingFace': True, 'pipline': create_classifier},
'MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33': {'predict': classify, 'isHuggingFace': True, 'pipline': create_classifier},
'MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli': {'predict': classify, 'isHuggingFace': True, 'pipline': create_classifier},
- 'llama3.2': {'predict': ollama.classify, 'isHuggingFace': False, 'pipline': None}
+ 'llama3.2': {'predict': ollama.classify, 'isHuggingFace': False, 'pipline': None},
+ 'mistral-small': {'predict': ollama.classify, 'isHuggingFace': False, 'pipline': None},
+ 'deepseek-v2': {'predict': ollama.classify, 'isHuggingFace': False, 'pipline': None}
}
\ No newline at end of file
--
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