dangvantuan
/

sentence-camembert-large

Sentence Similarity

feature-extraction

Sentence Similarity

Sentence-Embedding

camembert-large

Inference Endpoints

Model card Files Files and versions Community

Van Tuan DANG commited on Feb 17, 2022

Commit

7fc3c6d

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1 Parent(s): f2d0d08

add discription

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README.md +4 -1

README.md CHANGED Viewed

@@ -67,11 +67,14 @@ df_dev = load_dataset("stsb_multi_mt", name="fr", split="dev")
 df_test = load_dataset("stsb_multi_mt", name="fr", split="test")
 # Convert the dataset for evaluation
 dev_samples = convert_dataset(df_dev)
 val_evaluator = EmbeddingSimilarityEvaluator.from_input_examples(dev_samples, name='sts-dev')
 val_evaluator(model, output_path="./")
-test_samples = convert_dataset(df_dev)
 test_evaluator = EmbeddingSimilarityEvaluator.from_input_examples(test_samples, name='sts-test')
 test_evaluator(model, output_path="./")
 ```

 df_test = load_dataset("stsb_multi_mt", name="fr", split="test")
 # Convert the dataset for evaluation
+# For Dev set:
 dev_samples = convert_dataset(df_dev)
 val_evaluator = EmbeddingSimilarityEvaluator.from_input_examples(dev_samples, name='sts-dev')
 val_evaluator(model, output_path="./")
+# For Test set:
+test_samples = convert_dataset(df_test)
 test_evaluator = EmbeddingSimilarityEvaluator.from_input_examples(test_samples, name='sts-test')
 test_evaluator(model, output_path="./")
 ```