Open hassaanseeker opened 2 years ago
Hi in the tutorial on the supervised module of fastest in the tutorial we are shown the below results:
model = fasttext.train_supervised(input="cooking.train", lr=0.5, epoch=25, wordNgrams=2, bucket=200000, dim=50, loss='ova') model.test("cooking.valid", k=-1) (3000L, 0.702, 0.2)
Where the precision is 0.702 and recall is 0.2.
But when I run the same tutorial at my end I get the below results:
(3000, 0.003146031746031746, 1.0)
Has something changed with the newer version of fastext which is not documented yet.
Hi in the tutorial on the supervised module of fastest in the tutorial we are shown the below results:
model = fasttext.train_supervised(input="cooking.train", lr=0.5, epoch=25, wordNgrams=2, bucket=200000, dim=50, loss='ova') model.test("cooking.valid", k=-1) (3000L, 0.702, 0.2)
Where the precision is 0.702 and recall is 0.2.
But when I run the same tutorial at my end I get the below results:
(3000, 0.003146031746031746, 1.0)
Has something changed with the newer version of fastext which is not documented yet.