init

training_scripts/finetune_t5.py

@@ -196,6 +196,8 @@ def test(
     label = [i[dataset_column_label] for i in dataset_instance]
     data = [i[dataset_column_text] for i in dataset_instance]
     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(
@@ -221,12 +223,15 @@ def upload(
     logging.info('uploading to huggingface')
     output_dir = f'ckpt/{os.path.basename(model_name)}.{os.path.basename(dataset)}.{dataset_name}'
     args = {'use_auth_token': use_auth_token, 'organization': model_organization}
-    # model = load_model(model_name=f'{output_dir}/best_model')
-    # tokenizer = transformers.AutoTokenizer.from_pretrained(model_name, use_auth_token=use_auth_token)
-    # model.push_to_hub(model_alias, **args)
-    # tokenizer.push_to_hub(model_alias, **args)
+    model_path = f'{output_dir}/best_model'
+    if not os.path.exists(model_path):
+        model_path = os.path.basename(model_name)
+    model = load_model(model_name=model_path)
+    tokenizer = transformers.AutoTokenizer.from_pretrained(model_name, use_auth_token=use_auth_token)
+    model.push_to_hub(model_alias, **args)
+    tokenizer.push_to_hub(model_alias, **args)
     repo = Repository(model_alias, f'{model_organization}/{model_alias}')
-    for i in glob(f'{output_dir}/best_model/*'):
+    for i in glob(f'{model_path}/*'):
         if not os.path.exists(f'{model_alias}/{os.path.basename(i)}'):
             copyfile(i, f'{model_alias}/{os.path.basename(i)}')
     dataset_instance = load_dataset(dataset, dataset_name, split='validation', use_auth_token=use_auth_token)

training_scripts/script.sh

@@ -1,24 +1,17 @@
 
 # training
 ## en_2022
-[Done] 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 --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
+
 ## single
-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
-[done] 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
+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
 python finetune_t5.py --dataset-name ja --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-ja --model-organization cardiffnlp --use-auth-token
 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
-# mix
-[Done] 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
-python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --dataset-name en --skip-train --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 --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 --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 --low-cpu-mem-usage --model-alias mt5-small-tweet-topic-multi-en-2022 --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
+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
@@ -27,3 +20,14 @@ python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --datase
 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
+
+
+