init

training_scripts/finetune_t5.py

@@ -26,6 +26,27 @@ os.environ['WANDB_DISABLED'] = 'true'  # disable wandb
 _LR = [1e-6, 1e-5, 1e-4]
 _BATCH = 32
 _EPOCH = 5
+_CLASS_MAP = {
+    'Arts & Culture': ['Τέχνες & Πολιτισμός', 'Arte y cultura', 'アート&カルチャー'],
+    'Business & Entrepreneurs': ['Επιχειρήσεις & Επιχειρηματίες', 'Negocios y emprendedores', 'ビジネス'],
+    'Celebrity & Pop Culture': ['Διασημότητες & Ποπ κουλτούρα', 'Celebridades y cultura pop', '芸能'],
+    'Diaries & Daily Life': ['Ημερολόγια & Καθημερινή ζωή', 'Diarios y vida diaria', '日常'],
+    'Family': ['Οικογένεια', 'Familia', '家族'],
+    'Fashion & Style': ['Μόδα & Στυλ', 'Moda y estilo', 'ファッション'],
+    'Film, TV & Video': ['Ταινίες, τηλεόραση & βίντεο', 'Cine, televisión y video', '映画&ラジオ'],
+    'Fitness & Health': ['Γυμναστική & Υεία', 'Estado físico y salud', 'フィットネス&健康'],
+    'Food & Dining': ['Φαγητό & Δείπνο', 'Comida y comedor', '料理'],
+    'Learning & Educational': ['Μάθηση & Εκπαίδευση', 'Aprendizaje y educación', '教育関連'],
+    'News & Social Concern': ['Ειδήσεις & Κοινωνία', 'Noticias e interés social', '社会'],
+    'Relationships': ['Σχέσεις', 'Relaciones', '人間関係'],
+    'Science & Technology': ['Επιστήμη & Τεχνολογία', 'Ciencia y Tecnología', 'サイエンス'],
+    'Youth & Student Life': ['Νεανική & Φοιτητική ζωή', 'Juventud y Vida Estudiantil', '学校'],
+    'Music': ['Μουσική', 'Música', '音楽'],
+    'Gaming': ['Παιχνίδια', 'Juegos', 'ゲーム'],
+    'Sports': ['Αθλητισμός', 'Deportes', 'スポーツ'],
+    'Travel & Adventure': ['Ταξίδια & Περιπέτεια', 'Viajes y aventuras', '旅行'],
+    'Other Hobbies': ['Άλλα χόμπι', 'Otros pasatiempos', 'その他']
+}
 
 
 def load_model(
@@ -94,11 +115,6 @@ def train(
         )
         # train
         trainer.train()
-        # trainer.log_metrics("train", result.metrics)
-        # trainer.save_metrics("train", result.metrics)
-        # clean up memory
-        # trainer.save_model()
-        # trainer.save_state()
         del trainer
         del model
         gc.collect()
@@ -119,6 +135,15 @@ def get_f1_score(references: List[Set[str]], predictions: List[Set[str]]) -> flo
     return mean(scores)
 
 
+def unify_label(label: Set[str]):
+    new_label = []
+    for label_tmp in label:
+        label_en = [k for k, v in _CLASS_MAP.items() if label_tmp in v]
+        if label_en:
+            new_label.append(label_en[0])
+    return set(new_label)
+
+
 def get_metric(
         prediction_file: str,
         metric_file: str,
@@ -140,8 +165,8 @@ def get_metric(
         with open(prediction_file, 'w') as f:
             f.write('\n'.join(output))
     with open(prediction_file) as f:
-        output = [set(i.split(',')) for i in f.read().split('\n')]
-    label = [set(i.split(',')) for i in label]
+        output = [unify_label(set(i.split(','))) for i in f.read().split('\n')]
+    label = [unify_label(set(i.split(','))) for i in label]
     eval_metric = {'f1': get_f1_score(label, output)}
     logging.info(json.dumps(eval_metric, indent=4))
     with open(metric_file, 'w') as f:
@@ -198,6 +223,7 @@ def test(
     model_path = f'{output_dir}/best_model'
     if not os.path.exists(model_path):
         model_path = os.path.basename(model_name)
+
     prediction_file = f"{model_path}/prediction.{os.path.basename(dataset)}.{dataset_name}.txt"
     metric_file = f"{model_path}/metric.{os.path.basename(dataset)}.{dataset_name}.json"
     metric = get_metric(

training_scripts/script.sh

@@ -2,10 +2,20 @@
 # training
 ## en_2022
 python finetune_t5.py --dataset-name en_2022 --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
-python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name en --skip-train --skip-validate --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
-python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name ja --skip-train --skip-validate --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
-python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name gr --skip-train --skip-validate --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
-python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name es --skip-train --skip-validate --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
+git clone https://huggingface.co/cardiffnlp/mt5-small-tweet-topic-multi-en-2022
+python finetune_t5.py -m mt5-small-tweet-topic-multi-en-2022 --dataset-name en --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-en-2022 --dataset-name ja --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-en-2022 --dataset-name gr --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-en-2022 --dataset-name es --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --model-organization cardiffnlp --use-auth-token
+cd mt5-small-tweet-topic-multi-en-2022 && git add . && git commit -m "update" && git push origin main && cd ..
+# mix
+python finetune_t5.py --dataset-name mix --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
+git clone https://huggingface.co/cardiffnlp/mt5-small-tweet-topic-multi-mix
+python finetune_t5.py -m mt5-small-tweet-topic-multi-mix --dataset-name en --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-mix --dataset-name ja --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-mix --dataset-name gr --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
+python finetune_t5.py -m mt5-small-tweet-topic-multi-mix --dataset-name es --skip-train --skip-validate --skip-upload --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
+cd mt5-small-tweet-topic-multi-mix && git add . && git commit -m "update" && git push origin main && cd ..
 
 ## single
 python finetune_t5.py --dataset-name en --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en --model-organization cardiffnlp --use-auth-token
@@ -13,21 +23,8 @@ python finetune_t5.py --dataset-name ja --low-cpu-mem-usage --model-alias mt5-sm
 python finetune_t5.py --dataset-name gr --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-gr --model-organization cardiffnlp --use-auth-token
 python finetune_t5.py --dataset-name es --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-es --model-organization cardiffnlp --use-auth-token
 
-
 # continuous
 python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name es --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022-es --model-organization cardiffnlp --use-auth-token
 python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name en --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022-en --model-organization cardiffnlp --use-auth-token
 python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name ja --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022-ja --model-organization cardiffnlp --use-auth-token
 python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name gr --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022-gr --model-organization cardiffnlp --use-auth-token
-
-# mix
-python finetune_t5.py --dataset-name mix --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-mix --model-organization cardiffnlp --use-auth-token
-
-
-
-
-
-# Zero-shot
-
-
-