Commit
·
5d81f4d
1
Parent(s):
ed540d3
Embeddings running
Browse files- .gitignore +1 -0
- embeddings.py +10 -3
- out/debug.txt +0 -0
- out/n_grams.json +0 -290
.gitignore
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+
out/*
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embeddings.py
CHANGED
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@@ -142,10 +142,13 @@ def benchmark(model, debug=False):
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dataset = dataset.shuffle().select(range(100))
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else:
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dataset = dataset.shuffle().select(range(min(50_000, len(dataset))))
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-
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dataset = tokenize(dataset)
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dataset = create_dataloader(dataset)
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-
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y = []
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with torch.no_grad():
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@@ -195,4 +198,8 @@ def test():
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logging.info("Saving Results...")
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df_results.to_json(os.path.join(CURRENT_PATH, 'out', 'embeddings.json'),
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orient='records', indent=4, force_ascii=False)
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dataset = dataset.shuffle().select(range(100))
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else:
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dataset = dataset.shuffle().select(range(min(50_000, len(dataset))))
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+
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dataset = tokenize(dataset)
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dataset.set_format(type='torch', columns=['input_ids', 'attention_mask', 'label'])
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dataset = create_dataloader(dataset)
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y = []
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with torch.no_grad():
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logging.info("Saving Results...")
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df_results.to_json(os.path.join(CURRENT_PATH, 'out', 'embeddings.json'),
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orient='records', indent=4, force_ascii=False)
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+
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if __name__ == '__main__':
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test()
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out/debug.txt
DELETED
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File without changes
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out/n_grams.json
DELETED
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@@ -1,290 +0,0 @@
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[
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{
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"train_domain":"politics",
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"test_domain":"politics",
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"accuracy":0.99,
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"f1":0.9887640449,
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"precision":0.9777777778,
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"recall":1.0
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},
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{
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"train_domain":"politics",
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"test_domain":"news",
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"accuracy":0.34,
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"f1":0.3653846154,
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"precision":0.2261904762,
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"recall":0.95
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},
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{
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"train_domain":"politics",
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"test_domain":"law",
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"accuracy":0.56,
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"f1":0.6206896552,
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"precision":0.5454545455,
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"recall":0.72
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},
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{
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"train_domain":"politics",
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"test_domain":"social_media",
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"accuracy":0.49,
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"f1":0.6222222222,
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"precision":0.4516129032,
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"recall":1.0
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},
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{
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"train_domain":"politics",
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"test_domain":"literature",
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"accuracy":0.19,
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"f1":0.2568807339,
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"precision":0.1473684211,
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-
"recall":1.0
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},
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{
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"train_domain":"politics",
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"test_domain":"web",
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"accuracy":0.65,
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"f1":0.7619047619,
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"precision":0.7088607595,
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"recall":0.8235294118
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},
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{
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"train_domain":"news",
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"test_domain":"politics",
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"accuracy":0.87,
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"f1":0.8828828829,
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"precision":0.7903225806,
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"recall":1.0
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},
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{
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"train_domain":"news",
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"test_domain":"news",
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"accuracy":0.97,
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"f1":0.88,
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"precision":0.7857142857,
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"recall":1.0
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},
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{
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"train_domain":"news",
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"test_domain":"law",
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"accuracy":0.33,
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"f1":0.2298850575,
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"precision":0.2272727273,
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"recall":0.2325581395
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},
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{
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"train_domain":"news",
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"test_domain":"social_media",
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"accuracy":0.62,
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"precision":0.5949367089,
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"recall":0.8867924528
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},
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{
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"train_domain":"news",
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"test_domain":"literature",
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"accuracy":0.38,
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"f1":0.2790697674,
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"precision":0.1666666667,
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"recall":0.8571428571
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},
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{
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"train_domain":"news",
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"test_domain":"web",
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"accuracy":0.74,
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"f1":0.835443038,
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"recall":0.9705882353
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},
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{
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"train_domain":"law",
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"test_domain":"politics",
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"accuracy":0.43,
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"f1":0.0952380952,
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"precision":0.2142857143,
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"recall":0.0612244898
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{
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"train_domain":"law",
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"test_domain":"news",
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"accuracy":0.6,
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"recall":0.1612903226
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"train_domain":"law",
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{
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"train_domain":"law",
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"test_domain":"social_media",
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"accuracy":0.57,
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"recall":0.2244897959
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"train_domain":"law",
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"test_domain":"literature",
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"recall":0.2352941176
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{
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"train_domain":"law",
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"test_domain":"web",
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"accuracy":0.4,
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"recall":0.3048780488
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{
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"train_domain":"social_media",
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"test_domain":"politics",
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{
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"train_domain":"social_media",
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"test_domain":"news",
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{
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{
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"test_domain":"social_media",
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"accuracy":0.46,
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"recall":0.1896551724
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{
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"accuracy":0.89,
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"recall":0.0
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{
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"accuracy":0.9,
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"recall":0.8783783784
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}
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]
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