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10% test 10% val

This commit is contained in:
Alejandro Moreo Fernandez 2020-05-01 22:54:34 +02:00
parent efe9d90f89
commit 727dda6167
2 changed files with 2 additions and 2 deletions
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2
src/data/fetch_imdb62.py
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@ -7,7 +7,7 @@ from data.AuthorshipDataset import AuthorshipDataset, LabelledCorpus
class Imdb62(AuthorshipDataset): class Imdb62(AuthorshipDataset):
TEST_SIZE = 0.30 TEST_SIZE = 0.10
NUM_AUTHORS = 62 NUM_AUTHORS = 62
NUM_DOCS_BY_AUTHOR = int(1000-(1000*TEST_SIZE)) NUM_DOCS_BY_AUTHOR = int(1000-(1000*TEST_SIZE))

2
src/model/classifiers.py
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@ -16,7 +16,7 @@ class AuthorshipAttributionClassifier(nn.Module):
self.padder = Padding(pad_index=pad_index, max_length=pad_length, dynamic=True, pad_at_end=False, device=device) self.padder = Padding(pad_index=pad_index, max_length=pad_length, dynamic=True, pad_at_end=False, device=device)
self.device = device self.device = device
def fit(self, X, y, batch_size, epochs, lr=0.001, val_prop=0.2, log='../log/tmp.csv'): def fit(self, X, y, batch_size, epochs, lr=0.001, val_prop=0.1, log='../log/tmp.csv'):
batcher = Batch(batch_size=batch_size, n_epochs=epochs) batcher = Batch(batch_size=batch_size, n_epochs=epochs)
criterion = torch.nn.CrossEntropyLoss().to(self.device) criterion = torch.nn.CrossEntropyLoss().to(self.device)
optim = torch.optim.Adam(self.parameters(), lr=lr) optim = torch.optim.Adam(self.parameters(), lr=lr)