init

training_scripts/finetune_t5.py

@@ -254,7 +254,7 @@ pipe = pipeline('text2text-generation', model='{model_organization}/{model_alias
 output = pipe('{sample[0]}')
 ```
         """)
-        repo.push_to_hub()
+    repo.push_to_hub()
 
 
 if __name__ == '__main__':

training_scripts/script.sh

@@ -1,6 +1,16 @@
 
-# English TweetTopic
+# 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
+## 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
+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
+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
@@ -10,11 +20,6 @@ python finetune_t5.py -m cardiffnlp/mt5-small-tweet-topic-multi-en-2022 --datase
 # 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
 
-# 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 --skip-train --skip-test
-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
 
 # 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