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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
I evaluate the InferSent 1 model on STS transfer tasks (STS12-16 and STSBenchmark) using the SentEval tool.
However I could not reproduce the same results.
2019-04-28 17:35:35,511 : ***** Transfer task : STS12 *****
Found 8104(/8122) words with w2v vectors
Vocab size : 8104
2019-04-28 17:35:37,836 : ALL (weighted average) : Pearson = 0.5893, Spearman = 0.5896
2019-04-28 17:35:37,836 : ALL (average) : Pearson = 0.5792, Spearman = 0.5798
2019-04-28 17:35:37,836 : ***** Transfer task : STS13 (-SMT) *****
Found 5106(/5116) words with w2v vectors
Vocab size : 5106
2019-04-28 17:35:38,933 : ALL (weighted average) : Pearson = 0.6399, Spearman = 0.6371
2019-04-28 17:35:38,933 : ALL (average) : Pearson = 0.5553, Spearman = 0.5541
2019-04-28 17:35:38,933 : ***** Transfer task : STS14 *****
Found 9046(/9060) words with w2v vectors
Vocab size : 9046
2019-04-28 17:35:41,391 : ALL (weighted average) : Pearson = 0.6545, Spearman = 0.6377
2019-04-28 17:35:41,391 : ALL (average) : Pearson = 0.6411, Spearman = 0.6258
2019-04-28 17:35:41,391 : ***** Transfer task : STS15 ****
Found 7313(/7335) words with w2v vectors
Vocab size : 7313
2019-04-28 17:35:43,532 : ALL (weighted average) : Pearson = 0.6879, Spearman = 0.6988
2019-04-28 17:35:43,533 : ALL (average) : Pearson = 0.6600, Spearman = 0.6731
2019-04-28 17:35:43,533 : ***** Transfer task : STS16 *****
Found 3930(/3971) words with w2v vectors
Vocab size : 3930
2019-04-28 17:35:44,572 : ALL (weighted average) : Pearson = 0.6287, Spearman = 0.6465
2019-04-28 17:35:44,572 : ALL (average) : Pearson = 0.6321, Spearman = 0.6494
***** Transfer task : STSBenchmark*****
Found 15718(/15755) words with w2v vectors
Vocab size : 15718
2019-04-28 17:36:19,249 : Test : Pearson 0.68976421922 Spearman 0.683016070529
PS: I used /dataset/get_data.bash to download the data,
for word embeddings I was using CBOW trained on wiki data.
Is there something wrong with the default setting?
Thanks for your help!
The text was updated successfully, but these errors were encountered:
Hi,
I evaluate the InferSent 1 model on STS transfer tasks (STS12-16 and STSBenchmark) using the SentEval tool.
However I could not reproduce the same results.
2019-04-28 17:35:35,511 : ***** Transfer task : STS12 *****
Found 8104(/8122) words with w2v vectors
Vocab size : 8104
2019-04-28 17:35:37,836 : ALL (weighted average) : Pearson = 0.5893, Spearman = 0.5896
2019-04-28 17:35:37,836 : ALL (average) : Pearson = 0.5792, Spearman = 0.5798
2019-04-28 17:35:37,836 : ***** Transfer task : STS13 (-SMT) *****
Found 5106(/5116) words with w2v vectors
Vocab size : 5106
2019-04-28 17:35:38,933 : ALL (weighted average) : Pearson = 0.6399, Spearman = 0.6371
2019-04-28 17:35:38,933 : ALL (average) : Pearson = 0.5553, Spearman = 0.5541
2019-04-28 17:35:38,933 : ***** Transfer task : STS14 *****
Found 9046(/9060) words with w2v vectors
Vocab size : 9046
2019-04-28 17:35:41,391 : ALL (weighted average) : Pearson = 0.6545, Spearman = 0.6377
2019-04-28 17:35:41,391 : ALL (average) : Pearson = 0.6411, Spearman = 0.6258
2019-04-28 17:35:41,391 : ***** Transfer task : STS15 ****
Found 7313(/7335) words with w2v vectors
Vocab size : 7313
2019-04-28 17:35:43,532 : ALL (weighted average) : Pearson = 0.6879, Spearman = 0.6988
2019-04-28 17:35:43,533 : ALL (average) : Pearson = 0.6600, Spearman = 0.6731
2019-04-28 17:35:43,533 : ***** Transfer task : STS16 *****
Found 3930(/3971) words with w2v vectors
Vocab size : 3930
2019-04-28 17:35:44,572 : ALL (weighted average) : Pearson = 0.6287, Spearman = 0.6465
2019-04-28 17:35:44,572 : ALL (average) : Pearson = 0.6321, Spearman = 0.6494
***** Transfer task : STSBenchmark*****
Found 15718(/15755) words with w2v vectors
Vocab size : 15718
2019-04-28 17:36:19,249 : Test : Pearson 0.68976421922 Spearman 0.683016070529
PS: I used /dataset/get_data.bash to download the data,
for word embeddings I was using CBOW trained on wiki data.
Is there something wrong with the default setting?
Thanks for your help!
The text was updated successfully, but these errors were encountered: