Datasets:

cardiffnlp
/

tweet_topic_multilingual

Tasks:

Text Classification

Languages:

Size:

ArXiv:

License:

Dataset card Files Files and versions Community

asahi417 commited on Oct 11, 2023

Commit

0915787

•

1 Parent(s): 3d79baa

init

Files changed (1) hide show

training_scripts/finetune_t5.py +1 -1

training_scripts/finetune_t5.py CHANGED Viewed

@@ -227,7 +227,7 @@ def upload(
     tokenizer.push_to_hub(model_alias, **args)
     repo = Repository(model_alias, f'{model_organization}/{model_alias}')
     copy_tree(f'{output_dir}/best_model', model_alias)
-    dataset_instance = load_dataset(dataset, dataset_name, split='validate', use_auth_token=use_auth_token)
     sample = [i[dataset_column_text] for i in dataset_instance]
     sample = [i for i in sample if ''' not in i and ''' not in i][:3]
     widget = '\n'.join([f"- text: '{t}'\n  example_title: example {_n + 1}" for _n, t in enumerate(sample)])

     tokenizer.push_to_hub(model_alias, **args)
     repo = Repository(model_alias, f'{model_organization}/{model_alias}')
     copy_tree(f'{output_dir}/best_model', model_alias)
+    dataset_instance = load_dataset(dataset, dataset_name, split='validation', use_auth_token=use_auth_token)
     sample = [i[dataset_column_text] for i in dataset_instance]
     sample = [i for i in sample if ''' not in i and ''' not in i][:3]
     widget = '\n'.join([f"- text: '{t}'\n  example_title: example {_n + 1}" for _n, t in enumerate(sample)])