Datasets:

cardiffnlp
/

tweet_topic_multi

Tasks:

Text Classification

Sub-tasks: sentiment-classification

Languages: English

Multilinguality: monolingual

Size Categories: 1k<10K

ArXiv:

License:

Dataset card Files Files and versions Community

asahi417 commited on Sep 30, 2022

Commit

8b720cd

•

1 Parent(s): 88a27a4

Update lm_finetuning.py

Files changed (1) hide show

lm_finetuning.py +1 -10

lm_finetuning.py CHANGED Viewed

@@ -211,16 +211,7 @@ def main():
         ),
         train_dataset=tokenized_datasets[opt.split_train],
         eval_dataset=tokenized_datasets[opt.split_test],
-        compute_metrics=compute_metric_all,
-        model_init=lambda x: AutoModelForSequenceClassification.from_pretrained(
-            opt.model,
-            return_dict=True,
-            num_labels=len(dataset[opt.split_train]['label'][0]),
-            local_files_only=not network,
-            problem_type="multi_label_classification",
-            id2label=ID2LABEL,
-            label2id=LABEL2ID
-            )
     )
     summary_file = pj(opt.output_dir, opt.summary_file)
     if not opt.skip_eval:

         ),
         train_dataset=tokenized_datasets[opt.split_train],
         eval_dataset=tokenized_datasets[opt.split_test],
+        compute_metrics=compute_metric_all
     )
     summary_file = pj(opt.output_dir, opt.summary_file)
     if not opt.skip_eval: