Datasets:
Upload 11 files
Browse files- essay/X_dev.npy +3 -0
- essay/X_text_dev.npy +3 -0
- essay/X_text_train.npy +3 -0
- essay/X_train.npy +3 -0
- essay/y_dev.npy +3 -0
- essay/y_train.npy +3 -0
- essay_bert/test_feature_save.npy +3 -0
- essay_bert/test_label_save.npy +3 -0
- essay_bert/train_feature_save.npy +3 -0
- essay_bert/train_label_save.npy +3 -0
- hyperparameters.txt +31 -0
essay/X_dev.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea96499bd78851dd3d41fbcae6c67309c448c50af1b9868b05419a396d751e39
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size 1557728
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essay/X_text_dev.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4e20c811fbf62e4b05b4875594b961df4df6ddea76d75560b2910069f60aa0d
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size 31660944
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essay/X_text_train.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d65067ebc72550064baf6e3f922d1f8adde343d10ae585727464e7b9aeb3937
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size 284849904
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essay/X_train.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:20b10f9304fe264d96eedc1785ee49138f82fec66faf36cbf6a7cbd8a7379323
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size 14013728
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essay/y_dev.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1273995c34e38e29bf76bb62ae0b6e9e39de28fedeee93c54f41c01df0f027b
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size 1426
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essay/y_train.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:be2d709665dc05eea58482603a6a91de26fb3939a8c40c4ed0c47d66d3b02035
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size 11806
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essay_bert/test_feature_save.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:62e06a0ddd68db899614c400428b720925bab63bb2ff49df7caca344d9cad469
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size 7975040
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essay_bert/test_label_save.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1159253909ffba98079cc109fc3f1d40b1087aa52521297dd942203fed1685c
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size 10512
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essay_bert/train_feature_save.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:231c3fbab3caa82ad9ffd2bc224cacd4747265543506a96a63956856fa6516ce
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size 71749760
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essay_bert/train_label_save.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6f54bcb0515bf7f9173c2930e3dcca99c84a863bc44c9cf4902f4a53be9d283
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size 93552
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hyperparameters.txt
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emo:
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threshold = 0.5
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l2 = 10
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emo_bert:
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threshold = 0.5
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l2 = 10
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essay:
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threshold=0.5
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l2 = 1
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essay_bert:
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threshold=0.5
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l2 = 10
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speech:
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threshold=0.25
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l2 = 10
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speech_bert:
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threshold = 0.25
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l2 = 10
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tweet:
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threshold = 0.5
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l2=1
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tweet_bert:
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threshold = 0.5
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l2=10
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