Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
Browse files- config.json +28 -28
- pytorch_model.bin +1 -1
- training_args.bin +3 -0
config.json
CHANGED
@@ -11,42 +11,42 @@
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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-
"1": "B-
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"2": "B-country",
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"3": "B-flavor",
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"4": "B-
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"5": "B-
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"6": "B-
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"7": "B-
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"8": "B-
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"9": "B-
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"10": "
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"11": "
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"12": "I-
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"13": "I-
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"14": "I-
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"15": "I-
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-
"16": "I-
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-
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"B-country": 2,
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"B-flavor": 3,
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"B-
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"B-
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"B-
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"B-
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"B-
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"B-
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"
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"
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"I-
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"I-
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"I-
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"I-
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"I-
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"O": 0
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},
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"layer_norm_eps": 1e-12,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-adj",
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"2": "B-country",
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"3": "B-flavor",
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"4": "B-grape",
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"5": "B-moutfeel",
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"6": "B-mouthfeel",
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"7": "B-producer",
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"8": "B-province",
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"9": "B-region",
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"10": "B-sweetness",
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"11": "B-vintage",
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"12": "I-country",
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"13": "I-grape",
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"14": "I-producer",
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"15": "I-province",
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"16": "I-region"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-adj": 1,
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"B-country": 2,
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"B-flavor": 3,
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"B-grape": 4,
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"B-moutfeel": 5,
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"B-mouthfeel": 6,
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"B-producer": 7,
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"B-province": 8,
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"B-region": 9,
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"B-sweetness": 10,
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"B-vintage": 11,
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"I-country": 12,
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"I-grape": 13,
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"I-producer": 14,
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"I-province": 15,
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"I-region": 16,
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"O": 0
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},
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"layer_norm_eps": 1e-12,
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 435686633
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d56cb4b0c77244c1b92a832a98cb7cf5217d54039804ca63d8bdaa5ea7aec69
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size 435686633
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a31d8a636cb808f2773176be3842a638157281a49cf8d736ce8bc5143ab71326
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size 3963
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